What Am I Optimizing For on EFE in 2023?

Six principles, three big picture questions, and three bonus questions.

Anybody who’s attended a principles class taught by me knows what is coming next. It is my deeply rooted conviction that almost every single problem/concept/idea in economics can become more relatable by simplifying it down to one out of these twelve things: six principles, three big picture questions and three bonus questions. If you get the hang of these twelve things, you can go a very long way in terms of both understanding what economics is about, and how economics can be used to make the world around you a slightly better place.

And while mastery over these twelve things will likely take a lifetime – and almost definitely more than that – familiarity with them isn’t so difficult. And my aim is to write blogposts – in one way or another, and as much as possible – centered around one of these twelve things.

Not just blogposts, but we’ll leave that for aother day. For today’s blogpost, a simple list of what these twelve things are.


First, the six principles:

  1. Incentives matter
  2. TINSTAAFL – There is no such thing as a free lunch
  3. Costs matter
  4. Trade matters
  5. Prices matter
  6. Externalities matter

If I’m teaching a class in a semester at a college, I would dearly like to spend as much time as possible in speaking about just these six principles. Different teachers the world over may have a slightly different list, but I would be surprised if there were to be no overlap at all between two different lists. We may define concepts within these principles slightly differently, we may disagree on some of the underlying mechanisms, but here’s a nice way to think about my list. I am more than willing to listen to arguments about what I really should be adding to my list, but you’ll have to do a lot of convincing to make me remove an item from this list.

These six principles really do define economics for me. They can be expanded upon in multiple ways, a million derivatives can be constructed, there are endless tangents that can be drawn, and the nuances for each can be separate books in their own right. But at it’s heart, these six principles do most of the weight-lifting when it comes to economics.


Next, the three big picture questions:

  1. What does the world look like?
  2. Why does it look the way it does?
  3. What can we do to make the world a better place?

I don’t much like the artificial divide of the subject into “micro” and “macro” economics, but if you like, you can think of the six principles as a way to think about an introduction to microeconomics, while these three questions are a way to get started on thinking about macroeconomics. Depending upon how you want to go about answering the third question, there is yet a further division that is possible, between short term macroeconomic fluctuations and long term growth theory. But we’ll get to that in a bit.

But you can’t really begin analyzing macroeconomics without having a sense of what the world looks like today. Which countries in the world are doing well today, and how do you define “doing well”? Which countries in the world are not developing as rapidy as one would have hoped for? A comparative analysis of what the world looks like is where the study of macroeconomics should start.

At which point, the second question comes into its own. Why is Afghanistan doing so poorly when compared to its peers (howsoever defined), or when compared to its neighbours? Is it because Afghanistan is a landlocked country? Are all landlocked countries poor? If not, why not? Is it because of natural resources in Afghanistan? Is it because of geo-politics? Is it because of colonization? Does religion have a role to play? The list of questions is nowhere near complete, and this is just one nation. We can go on and on like this for all nations – and multiple careers have been spent on answering only parts of one question for just one nation.

And then we come to question number three, the most vexatious question of them all. Just two little words in that sentence, but what a world of (intellectual) pain they bring forth into the world.

“What can we do to make the world a better place?”

Who is we? What form of government works best to make one’s own country a better place? Is the answer to this question always the same regardless of the stage of development? Is your answer based on ideals and hope, or on empiricism? For which part(s) of the world and in which time period?

Does the word better mean the same thing to all people? Are we in a better world when everybody has access to a washing machine? Or are we in a better world when we don’t generate more carbon emissions? Can we have both? If yes, how?

These three questions define macroeconomics for me. Most of what we do in big picture economics (a term that I prefer to macroeconomics, for reasons I’ll get into in a later blogpost) can be thought of using this framework.


There are many good things that have happened as a consequence of blogging regularly here on EFE. But one of the best things to have happened is that I’ve been able to come up with three additional questions – questions that I find myself asking ad nauseam, both to myself and of other people:

  1. What are you optimizing for?
  2. Relative to what?
  3. Over what horizon?

That first question, strictly speaking, isn’t really a question economics can answer. What you are optimizing for is a question that requires deep introspection, and the answer likely comes from either other domains, or from a place that will perhaps forever lie beyond the fartherest probes of academia. But I will say this much – it is impossible to proceed further in economic analysis of any kind, without clarity about the answer to this question.

The second question here really is just another way of saying opportunity costs. But it is surprising to see how easy it is to forget that opportunity costs are real. This is particularly true in the case of public policy, but “relative to what” is a question that more people need to ask of themselves (myself included).

And finally, that most problematic of all questions: time. Just when you think you’re done with intellectual wrestling, trying to answer that third question can often bring you all the way back to square one. Is your answer to the first two questions the same over all time horizons?

I could have optimized for playing (judge me all you like) Subway Surfers instead of writing this post, because I was optimizing for relaxing myself. Or that, at any rate, is the story I tell myself when I give in to temptation. That choice is the best for me (if at all) only in the very short run. That is, over a very short horizon. So is playing yet another round of Subway Surfers really the best thing that I can do? Back, as I said, to square one.

India can optimize for (extending PMGKAY/ reviving the old pension scheme / pick whichever topic makes you the most uncomfortable), and ask yourself why what India is optimizing for. Ask what the opportunity costs of doing so will be. And finally ask if your answer (whatever it may be) remains the same if you ask what is best for India over the course of the next two years. What about two decades? What about two centuries? Which is the best timeframe to use to answer this question, and whatever your answer, what are you optimizing for? Back, as I said, to square one!


In one way, this is exactly what I have been doing in any case these past six years – writing blogs about these topics. A little bit of circular logic is involved here, of course. If I say that this framework:

six principles | three big picture questions | three bonus questions

can be used to think about any topic in economics, maybe I say I’ve been writing about this because I now think about those blogposts that I have written using this framework.

Be that as it may, writing here on EFE has convinced me that this framework can be used to think about all questions in economics, regardless of whether you have been formally trained in the subject or otherwise. And my attempt, this year, is going to be to think about as many questions as I can, explicitly using this framework. Of course I’ll benefit, but hey, as the sixth principle reminds us, externalities matter. You’ll benefit too!

Or is it the other way round?

Why is it bad to be rich?

Navin asked this question on Twitter recently:

(My thanks to Mihir Mahajan for pointing the tweet out to me, and for requesting for a post on this topic)

My current plan is to answer this question over three posts. In today’s post, I’ll try and answer this question using a first principles approach. That is, without using Google, or ChatGPT3, or my notes and references, I’ll answer this question using nothing more than what I think are the basic, foundational principles of economics.

In tomorrow’s post, I’ll trawl through the internet (and make use of ChatGPT3), and throw in articles/blog posts I’ve bookmarked over the years that speak to this point. And finally, in the post the day after tomorrow, I’ll speak about books you might want to read about this topic.

But even before having written down a single word re: my first principles argument, here is my answer in short: it is wonderful to be rich.


Six principles, if you ask me, that you absolutely must learn if you are a student of economics (and note that whether you like it or not, everybody is a student of economics):

  1. Incentives Matter
  2. TINSTAAFL
  3. Trade Matters
  4. Costs Matter
  5. Prices Matter
  6. Externalities Matter

As I was telling somebody the other day, most – if not all – problems in economics can be thought of using these six principles. If you truly understand these six principles and all of what they imply, you will be able to reduce every economic problem you meet down to the application of these six principles. The applications may be nuanced, there may be more than one principle applicable, and you may have to supply a lot of caveats. But you’ll go a very long way towards tackling your problem of choice by starting with these six principles.

And I’ll fire my first salvo at Navin’s question by deploying the third principle in the list: trade matters.

People get rich by trading with other people. Sure, people have gotten rich in the past (and in some cases, even today) by expropriating property, through loot and through dacoity. But I hope you don’t think I’m ducking the issue by saying that’s not the focus of today’s post. My focus in today’s post is about people who get rich through peaceful, voluntary trade. This particular process of getting rich focuses on offering you, through entirely peaceful, non-coercive means, a trade.

You are free to evaluate the terms of this trade, and if they seem agreeable to you, you enter into this trade. Note that the only reason you do is because you think that doing so is to your advantage. You are better off for having done this trade, relative to the option of not doing so. And the person who offered this trade to you is presumably better off for you taking the other end of it, for why else would she have offered you this trade instead?

That’s a non zero sum game, and the more we play such games with each other, the better off we are. That’s what the principle of “Trade Matters” means, and that is what it entails: peaceful, voluntary trade leaves both parties better off, and the world is therefore better off for this trade having gone through. If, as a consequence, both parties get richer, that’s A Very Good Thing, and it is therefore good to be rich.


But remember that for some problems, the applications of these principles may be nuanced, and that there may be more than one principle applicable.

First, opportunity costs. TINSTAAFL stands for There Is No Such Thing As A Free Lunch, and even to a non-zero sum game, opportunity costs are very much applicable. In the context of international trade, your level of analysis matters. Trade might make sense at the level of the parties involved in the trade, but that doesn’t necessarily mean that everybody else is better off as a consequence:

Because in the case of trade between countries, as opposed to trade between individuals, there are people who will lose out. If a university in the United States of America hires me to teach online classes to the students over there, there isn’t a hypothetical amateur cook who is losing out. There is an actual person in that country who could have taught this course, but is no longer able to because of me.
The university that hired me is better off, because it is able to hire the services of a teacher for less money. To the extent that I do about as good a job as the person I replaced, the students are (at least) indifferent. And given how strong the dollar is, I am certainly better off!
But it is not enough to say that both parties in this trade are better off (I and the university). A complete economic analysis should also include the person in the USA who is out of a job, and I would argue that one should also include what I find myself unable to do here in India as a consequence of teaching that course abroad. Both of these are the opportunity costs of this trade, and a complete economic analysis should include these aspects as well

.https://econforeverybody.com/2023/01/10/so-no-one-loses-when-it-comes-to-trade-rightright-part-ii/

Trade might then, at the margin, cause an increase in inequality. You’d be surprised at how old (but still somewhat underrated) an idea this is, but the opportunity cost of more trade might well imply an increase in inequality. So you might well say that it is bad to be rich because the opportunity cost of you being rich is that somebody else is (comparatively) poor.

But be careful with how you proceed with this! It cuts both ways, this analysis. Is the opportunity cost of reducing inequality a reduction in the creation of wealth? When you attempt to reduce inequality by taxing the rich, you reduce their incentive to trade. And remember, they get rich by voluntarily trading with you, and if that trade leaves you better off, you’ve made yourself poorer in the bargain.

If you tax Amazon so much that Amazon decides it is better for them to shutter up altogether, have you made the world better off or worse off? I’d urge you to ignore your first, visceral take, and take a look at your Amazon app to find out how often you’ve ordered from Amazon in the past month before answering this question.

So I’d argue that it still is good to be rich – but it ain’t for free. But in my opinion, the price is worth it. One can, and one should, argue about what the appropriate level of taxation should be. One can, and one should, worry about tactics used by Amazon to make sure that they remain a monopoly provider of certain goods and services. One can, and one should, worry about whether Amazon pushes its employees a little bit too much. I’m not defending Amazon as a perfect company without flaws. But I very much am saying that the world is a better place because Amazon exists. There are costs that we bear for having Amazon in our midst, but those costs are worth it.

And I picked Amazon as a stereotypical example here, but the argument is about the underlying idea, not about the specific organization. Trade matters, even after acknowledging that there are opportunity costs involved with trade.


We’re trading right now, you and I. You’re paying me with that most precious of all commodities in the year 2023: attention. And I can’t begin to thank you enough for having given me your attention so far, because I know that reading this ain’t easy. Pleasurable, hopefully, and worth your while – but not easy. And you’ve chosen to continue to pay me with your attention because what you’re getting in return – the pleasure you feel in tackling my arguments – is worth your while.

But how do you know that it is worth your while? You could have been doing something else with this time. You could have been learning how to code. You could have finished at least part of some project or an assignment. You could have picked strawberries. You could have milked a cow.

The point is that you could have been doing something that actually earns you cold hard cash, instead of reading this article. And it is your assessment of your own opportunity costs that allow you to continue reading this article. You know that you can ‘afford’ to spare the time required to read this article.

But how do you know this? You know it because you are part of a national (and global) economic system that depends upon the principle that ‘prices matter’.You have at least an implicit valuation of how much a minute of your time is worth, and you have made the rational decision to ‘spend’ this time reading this blog.

What is my point? My point is that we know how much it costs to enter into a trade only if we know how much that trade is worth to us, and we only know how much a trade is worth to us by having a sense of what we’re worth to society. Trade matters is a principle that works only if we know the price of a good or a service, and we know the price of a good or a service best in a free market economy. Deciding how much to produce something, and deciding at what price to sell it is a truly difficult problem to solve in an economy that is not based on markets.

So yes, trade matters, but so do prices.


But speaking of prices, it gets trickier still.

  1. What if you set prices to not just lure the buyer into buying your product, but at a price which is so attractive to buyers that your competitors cannot afford to match it? What if they go out of business as a consequence, leaving you as the only game in town? What if you then raise prices?
  2. What if you use patents to make sure that others cannot sell the same goods that you are selling? What if you abuse the patenting process to stymie the competition? What if you then become the only game in town, and raise prices to eye-watering levels?
  3. What if the price at which you sell the product you are selling does not take into account the damage done to the environment?
  4. What if the buyer isn’t aware of further purchases she might need to make for having bought your goods? What if she realizes later that the true price of the good in question is much higher?
  5. What if the buyer is tempted into buying the product because of shady marketing techniques?
  6. What if you lobby with the government to make sure that nobody else but you can sell the product that you’re selling? Will you then be able to charge a higher price?

Each of these questions merits a much deeper exploration than is possible in this blogpost (for those who are interested, or wondering, here are the topics you want to think about in the case of those six questions: monopoly | propoerty rights and patents | externalities | asymmetry of information | microeconomics/ behavioral economics | public economics). These topics would just be the start, there are many nuances to consider in each of the six questions. But for having raised these six questions, and the two separate arguments I’ve made in the last two sections above, here is my answer to Navin’s question about why it is bad to be rich:

It is bad to be rich if you live in a world without a fully operative price system, and/or a world in which non-voluntary trades can take place.

Interpret that sentence however you like, but begin to worry if you are convinced that there is only one interpretation, or if you are convinced that your interpretation is the only correct one!


I write on this blog for many reasons, but chief among them is a very personal reason. I would like my thinking, and my writing, to be become clearer and better over time. I’ll be the first to put my hand up and say that there are days on which I think I succeed in this endeavor, and there are days on which I don’t. But taken as a whole, I am convinced that I am a better thinker and writer than I was in 2016, which is when I started this blog.

Far from perfect, in case it needs to be said, but the benchmark isn’t perfection, the benchmark is Ashish of 2016. And on any given day, it is the Ashish of the previous day. One day at a time, as it were.

And one thing that has happened over these past six years is that I have become better at distilling in my own head what economics ultimately comes down to. Six microeconomic principles, and three big picture questions. I have outlined the six principles above, and I have written about the three big picture questions before, but here they are once again:

  1. What does the world look like?
  2. Why does it look the way it does?
  3. What can we do to make the world a better place?

Students who have learnt from me these past six years will be familiar with this list. But there is a crucial component that is missing in this list of six principles and three big picture questions: time. On my blog, I have attempted to get around this problem by speaking of an alternative framework, which I have shortened in my head to the CHIC acronym: Choices, Horizons, Incentives and Costs:

The trouble is, our brain isn’t always the best at interpreting incentives correctly, which brings us to the third key concept in economics: horizons. Or, if you have had enough nerd talk for one day, we could also call it the instant gratification monkey problem. Call it what you will, the problem is that we tend to prioritize choices that payoff in the short run, but create problems in the long run. If you’ve ever had that last “one for the road” drink, or ended up actually eating that second dessert (and who hasn’t?), you don’t really need an explanation for this. We tend to choose those options that payoff over the short horizon, and ignore the long term consequences.

https://econforeverybody.com/2018/05/03/choices-costs-horizons-and-incentives/

I have also written about time, and how it is ever-so-confusing to think about it in the context of economics. In my classes, I show students the circular flow of income diagram, and once they’ve understood it, I ask them to think of it as a video, rather than a still picture. That is to say, time matters.

Time matters.

Go and read the responses that Navin got on his original question on Twitter. I sent this essay that you are reading right not to some people, and they highlighted this same problem – they thought of intergenerational problems about being rich. Inheritance and the perpetuation of inequality across time, for example. Almost the entirety of my blogpost tomorrow, where I will share many articles that answer Navin’s question, focusses on this issue.

So here’s a question I have been grappling with for a while: should I update my list of six principles (Incentives matter | TINSTAAFL | Trade Matters | Costs Matter | Prices Matter | Externalities Matter) to also include Time Matters? And if yes, how do I expound upon this principle?

Here’s another way of thinking about this issue – one of my objectives on this blog is to teach economics to anybody and everybody. So ask yourself this question – what do we need to do to simplify economics down to its absolute bare minimum? Will somebody who has learnt about economics by attending my classes, or reading my blog, be able to answer Navin’s question? And the short answer to this question is yes, they will. But in an incomplete fashion, because in the context of this question (and many others besides), time matters.

Time, as it turns out, really and truly matters. And for me to teach this principles, I need to try and understand it better myself.

Onwards!

What is development economics?

That was a question sent in by a student recently, and today’s essay is an attempt to answer the question.

Have you heard of the tsetse fly? Unless you are a student of biology, or from Africa, it is unlikely that you have. And there’s no reason for you to have heard of it, of course. On the other hand, if you were to be from Africa, and from a long time ago, you likely would not only have heard of the tsetse fly, but you would have dreaded it.

Why would you have dreaded it? Because the tsetse fly feeds on the blood of vertebrate animals, and in doing so, also manages to transmit diseases between species. And this fly was so very efficient at transmitting diseases that it actually prevented the emergence of animal husbandry in those parts of Africa where it was both present and dominant.

Worse: research has established that the existence of the tsetse fly in certain parts of Africa has at least partially contributed to those parts of Africa remaining relatively underdeveloped today.

Ethnic groups inhabiting TseTse-suitable areas were less likely to use domesticated animals and the plow, less likely to be politically centralized, and had a lower population density. These correlations are not found in the tropics outside of Africa, where the fly does not exist. The evidence suggests current economic performance is affected by the TseTse through the channel of precolonial political centralization.

https://www.aeaweb.org/articles?id=10.1257/aer.20130604

That’s what development economists do: they try and figure out which parts of the world are not doing well. Then they try and figure out why (imagine being able to identify a fly as a potential cause of underdevelopment!). And finally, they try to recommend policies that might make the situation better.

Three Big Questions

When I teach courses in development economics, I often introduce the subject by speaking about three “big picture” questions:

  1. What does the world look like?
  2. Why does it look the way it does?
  3. What can we do to make it better?

And honestly, that is really all you need to think about when you want to understand what development economists do. Let’s tackle each of these questions in turn.

What does the world look like?

Good development economists don’t begin with recommendations and policy measures. That’s a long way down the road. They begin by trying to paint for themselves a picture of the world.

My favorite way to paint for myself a picture of the world is by using a freely available online tool called Gapminder.

Click here to open Gapminder in your browser

What are we looking at? Hans Rosling, the Genius (I don’t use the word lightly, and the capitalized G is intentional) who came up with this tool, used to call this chart the “Health and Wealth” chart.

Inflation adjusted, purchasing power parity adjusted per capita income for each country is plotted against the life expectancy for the citizens of that country. The color coding shows you which part of the world that country is from, and the size of the bubble indicates the population in that country.

Well, ok – but what does it tell us?

Well, here’s what it tells me – see if you agree with my understanding. It tells me that the reason economists harp on so about increasing income (GDP) for all nations is not because getting rich is an end in and of itself. It is the means to an end – that end in this case being better health.

Two caveats: higher life expectancy doesn’t necessarily mean better health. But in this case, I think it is an acceptable proxy. Second, correlation is not necessarily causation! Higher wealth may not necessarily be causing better health. Maybe better health is causing higher wealth? Maybe some other variable is causing both of these things? Maybe it is all of these and more?

But all those caveats aside, at first glance, a basic fact emerges:

There is no country that is at the top left of this chart, and there is no country at the bottom right of this chart.

Poor countries tend to not do well in terms of life expectancy, and rich countries tend to do well in terms of life expectancy. If I want the members of my family to live longer, I would want my country to be towards the top right of this chart.

But back to the central question: what does the world look like? This is a generalization, of course, but most of the African nations tend to lie towards the bottom left. Most of the European nations tend to lie towards the top right. And Asian nations (and some South American nations) tend to lie somewhere in the middle.

That’s one answer to the question we were trying to answer in this section: what does the world look like?

But there are other answer possible! Here are just two to get you started:

  1. Read the excellent introductory chapter in Partha Dasgupta’s “A Very Short Introduction to Economics”
  2. Play around with the World Bank Atlas, a most excellent data repository.

Why does the world look the way it does?

The Magic That Happens When You Hit Play in Gapminder

I have been using Gapminder for over 12 years now, but I am yet to get tired of watching that video. In fact, as I often tell my students, you could do a lot worse than spending time with Gapminder open in one tab, and Wikipedia in the other.

(On a tangential note, take a look at what happened to the world between 1918 and 1921. That’s the Spanish flu at work.)

Why did I include this video in this blogpost?

Because it helps us begin to think about the answer to the second question: why does the world look the way it does?

The world looks the way it does today because some countries were able to steal a march on others about two hundred years ago. The United Kingdom, the United States of America, Japan, Germany and some other nations started moving towards the right top of the chart before other countries could. You could, in fact, make an argument these countries were able to move to the right top by making sure that the other countries stayed at the bottom left!

And when you make that argument, you begin to try and answer the second question – this argument is the anti-imperialist stance. The Asian and African colonies of the European powers of the 19th century lag behind as much as they do today because they were colonies: that’s one candidate for explaining why the world looks the way it does.

The tse-tse fly (remember?) is another candidate for a more localized answer to the second question. Politics, race, religion, geography, caste, gender, openness to innovation – there are so, so many candidate answers! People can (and do!) spend entire careers making their way through just one of these candidates.

By the way, if you would like to read books about this topic – why does the world look like the way it does – here are two absolute must-reads:

  1. Guns, Germs and Steel, by Jared Diamond
  2. Why Nations Fail, by Acemoglu and Robinson

What can we do to make it better?

Can chickens cure poverty in Africa?

I’m not joking! That was a genuine proposal, made by this guy who you may have heard of. Started a software firm, dabbled in philanthropy, and is now engaged in trying to literally save the world. Yes: Bill Gates. His master plan to save Africa involved giving everybody a chicken.

Our foundation is betting on chickens. Alongside partners throughout sub-Saharan Africa, we are working to create sustainable market systems for poultry. It’s especially important for these systems to make sure farmers can buy birds that have been properly vaccinated and are well suited to the local growing conditions. Our goal: to eventually help 30 percent of the rural families in sub-Saharan Africa raise improved breeds of vaccinated chickens, up from just 5 percent now.
When I was growing up, chickens weren’t something you studied, they were something you made silly jokes about. It has been eye-opening for me to learn what a difference they can make in the fight against poverty. It sounds funny, but I mean it when I say that I am excited about chickens.

https://www.gatesnotes.com/development/why-i-would-raise-chickens

Well, I exaggerate, of course. Not literally giving everybody in Africa a chicken – but something along those lines.

Development economists were less than impressed:

But first, let’s talk about poultry. I think we can agree that we can only give away so many chickens. You’ve said that a family that receives five hens could eventually earn $1,000 annually, assuming a per-bird price of $5. But would that still be true when a third of your neighbors are in the same business? As supply goes up, I’d expect the price and profits to come down. And moving to an economy in which 30 percent of rural Africans sell chickens is a humongous increase in supply.

https://www.vox.com/the-big-idea/2017/3/14/14914996/bill-gates-chickens-cash-africa-poor-development

And to make matters worse, other development economists were less than impressed with the development economists who were less than impressed with Bill Gates’ chickens:

I have friends/alumni/colleagues working around the world in many facets of the challenge of development. I have friends working for the Prime Minister of India. I have friends working for the President of Indonesia. I have friends working on the conflict in Yemen. I have friends working as civil society activists in Egypt. I have had policy discussions with policy makers all over the world. I worked for 15 years in the World Bank. I have taught development at Harvard for 15 years. In all of those conversations with friends, colleagues, policy makers, and students all kinds of difficult and pressing development questions have arisen that research could address. Never, ever, ever has “chickens versus cash” arisen as an issue at all, much less as the remotely possible “best investment” in research.

https://www.cgdev.org/blog/getting-kinky-chickens

By the way, that blog post that I quoted above? It has possibly my all time favorite title ever: Getting Kinky with Chickens.

Why am I telling you all this? Because allow me to let you in on a dirty little secret: there is zero consensus on what is the correct answer to the third question.

Well, OK, zero consensus is an exaggeration. But it ain’t a settled issue, no sir.

That is, nobody has come up with a definitive, one-size-fits-all answer to the question, “What can we do to make the world better?”

Let’s parse through the question. That might help us understand why it is such a controversial one.

What can we do to make the world better?

  1. Who, exactly, is “we”? That is, who is in charge of decision making when it comes to making things better? Do democracies work better? Or do autocracies? Or something in between?
    Remember, we are not asking which political system is the best from a moral, or political, perspective. We are asking which system is likely to give us the most rapid growth. Was Singapore under Lee Kuan Yew a true, participatory democracy, or was it a democracy with Asian characteristics? What about South Korea under General Park? And while we’re on the subject, an autocracy is not by itself a guarantee of rapid growth! Pakistan, Cambodia are two examples from our own neighborhood.
    Also remember: just because a system may give us more rapid economic growth doesn’t mean it is the best system to use. China is the obvious country to think about in this regard!
  2. Do we really need to “do” stuff, or is it more about just getting out of the way, and letting the economy work it’s magic?

3. Are we agreed on what “better” means? Lesser pollution comes at the cost of lesser industrialization, for example. Are we so sure that all seven billion of us can identify the exact point on the spectrum that works best? And if not, then we’re back to the first point: who is “we”?

And hey, even if you could imagine a world in which we somehow, magically get everybody to agree on “What can we do to make the world a better place?”, we’d begin a new round of battles, centered around a new question.

“How?” – and on this point, last year’s Nobel Prize winners have won accolades and received brickbats in equal measure.

Still, there is some good news. The unsettled nature of the debate means that this is extremely fertile ground to work upon, and you can count on development economics as a field remaining a fundamentally interesting one to work in for years, if not decades, to come.

And that, my friend(s), is what development economics is all about!

The Times, They’re A-Changing Part II

“The putting-out system is a means of subcontracting work. Historically, it was also known as the workshop system and the domestic system. In putting-out, work is contracted by a central agent to subcontractors who complete the project via remote work. It was used in the English and American textile industries, in shoemaking, lock-making trades, and making parts for small firearms from the Industrial Revolution until the mid-19th century. After the invention of the sewing machine in 1846, the system lingered on for the making of ready-made men’s clothing.
The domestic system was suited to pre-urban times because workers did not have to travel from home to work, which was quite infeasible due to the state of roads and footpaths, and members of the household spent many hours in farm or household tasks.”

So begins the Wikipedia article on the putting-out system, a system that is about sub-contracting work.

This system isn’t just suited to pre-urban times, of course, it is also especially suited to pandemic times. The question to ask, of course, is whether it is also suited to post-pandemic times. And an article in the Economist seems to suggest that this may well be the case:


The Industrial Revolution ended the “putting-out system”, in which companies obtained raw materials but outsourced manufacturing to self-employed craftsmen who worked at home and were paid by output. Factories strengthened the tie between workers, now employed directly and paid by the hour, and workplace. The telegraph, telephone and, in the last century, containerised shipping and better information technology (IT), have allowed multinational companies to subcontract ever more tasks to ever more places. China became the world’s factory; India became its back office. Nearly three years after the pandemic began, it is clear that technology is once again profoundly redrawing the boundaries of the firm.

https://www.economist.com/business/2023/01/08/how-technology-is-redrawing-the-boundaries-of-the-firm

If you are a person embarking upon a new career today, not only is it possible for you to earn a fairly comfortable living working out of your home, wherever it may be located in the world, it is actually desirable to do so. Not for all people of course, but the pandemic, and the acceleration of technologies associated with the consequences of the pandemic, has made it possible for you to easily do so.

Part of the reason is, as the Economist article puts it, because of the fact that ‘measuring workers’ performance based on their actual output rather than time spent producing it’ has become progressively easier. That’s not a light sentence to write, by the way, because it hides at least two Nobel Prizes’ worth of work, if not more. And because it has become easier to specify what you want, and how to measure whether it is being done or not, the ‘putting-out’ system seems to be making a comeback of sorts.

A survey of nearly 500 American firms by the Federal Reserve Bank of Atlanta last year found that 18% were using more independent contractors than in previous years; 2% said they used fewer. On top of that, 13% relied more on leased workers, compared with 1% who reduced this reliance.

https://www.economist.com/business/2023/01/08/how-technology-is-redrawing-the-boundaries-of-the-firm

Which, to my mind, means that we need to think about five big-picture questions as a consequence of this trend:

  1. How will this impact patterns of urbanization? This is not an easy question to think about!
  2. How will this impact education? Will there be the evolution of the putting out model in academia also? Why or why not, and what will the equilibrium look like? Also not an easy question to think about, and I now have a better appreciation for inertia.
  3. How will the certification of both learning and working evolve? Will freelancing now carry more weightage on a CV? Or less, as before? How should we think about what to look for on a fresher’s CV?
  4. How far away is ubiquitous VR? How will that impact the dynamics of working/learning from home?
  5. How will this impact work culture and college culture in the years to come, and how should we think about this from a normative perspective?

What is Cricket Optimizing For?

What if you asked an economist how to go about analyzing the answer to this question? I’m not so interested in the answers to this question in today’s post, but in trying to figure out how to go about thinking about how to set up this question for analysis. But I will conclude today’s post by trying to answer some of the questions/points I will have raised by then.

  1. What do we mean when we say “cricket”? Do we mean the players, the administrators, the viewers, the businesses interested in informing the viewers about the sport, or all of the above? If it is to be all of the above, are they all pulling in the same direction? If not, should we not be analyzing what each of them are optimizing for?
  2. What do we mean when we say “cricket”? Do we mean international cricket, or the leagues?
  3. What do we mean when we say “international” cricket? Do we mean Test match cricket, or One-Day Internationals os T20 internationals?
  4. What is cricket optimizing for, but also over what time horizon? What is best for cricket this year, in 2023? What is best for cricket in the medium run – say over the next five years? What is best for cricket over the next ten years? Do the answers change given the horizon, and do the answers change given the answers to the first three questions?
  5. If any one, or more, of the answers to these questions are such that they are in contradiciton to one another, how should we prioritize? On what basis?

The larger point behind today’s post is not to figure out how to figure out the answers to these questions. The larger point is to help all of you realize that analysis can only begin in earnest once the questions are clear in your own head. And while a throwaway question like “What is cricket optimizing for?” is fun to think about over a couple of beers, breaking it down into its constituents is always helpful. When you tackle any big picture question, spend some time in breaking it down into its constituent parts. Oh, and make good ue of the MECE principle while doing so.

For example: what is China optimizing for isn’t the correct question. Who within China are you talking about? Ditto for Russia. And for the USA.

“What are you optimizing for?” is a great question to ask, but only if you really and truly know who the “you” in the question is.


But having said all that, here are some (not all!) points from me for having considered these questions:

  1. What do we mean when we say cricket?
    • Players will want to maximize their incomes. This is not me being sarcastic, or saying that players are mercenaries. This is me saying that players are human beings. Had it been you or I in their place, we would also have wanted to maximize our incomes over the 15 years or so (at most) that we could have realistically played the game at a professional level. That is not a bad thing, it is a perfectly rational thing to do!
    • Administrators are optimizing for maximizing revenue streams. This is also a perfectly rational thing to do, but I do think that administrators are maximizing revenue streams over the short run, and are damaging the long-term health of the game while doing so.
    • The viewers (en masse) are optimizing for alleviating boredom. There will always be some eyeballs for a match, no matter where it is being played, and no matter between whom, and no matter how inconsequential. This results in the point above, and this is a great example of why thinking long term is A Very Good But Very Underrated Thing.
    • Businesses are optimizing for maximizing their long term returns, but across many diverse businesses. Amazon Prime doesn’t show you cricket matches from New Zealand because they are passionate about cricket, but because Amazon is passionate about getting you hooked on to Amazon Prime. Which, in turn, will get you hooked on to using Amazon. But that is just one example of a broadcaster (loosely defined) optimizing for its larger business interests (also loosely defined). ESPNCricinfo is also a business that is about informing you about cricket, but they have a much more direct interest in (and passion for) the sport. But obviously a very different business model, and this before we start to think about ESPN, and Disney. Note that this is a hugely complicated point, and difficult to speak about in a single blogpost, let alone a sub-point of a point in a blog post!
  2. In an ideal world, we would be optimizing for maximizing the long term health and popularity of the game. But we do not live in an ideal world. We therefore need to ask ourselves which of these groups mentioned above are likely to hold sway, and at what cost to the interest of all the other groups. That administrators and businesses are likely to take most decisions is a given. That they are likely to do so in favour of their own interests is obvious. Getting their interests to align with those of the viewers, and to have all interests be focussed on the long run would be a good way to get going towards living in that ideal world. Think long term, everybody!
  3. There is no escaping the fact that we really should be having a conversation about having the 2023 ODI World Cup being the swansong for the format at large. Scrap T20 Internationals, save for only a T20 World Cup, held once every two years.
  4. These apart, T20 leagues in all major cricket playing nations.
  5. Cross-subsidization of Test matches for as long as possible, and the eventual demise of this version of the sport too. I hope this is delayed for as long as possible, but it is an eventual inevitability.

Pts. 3, 4 and 5 are assertions/predictions on my part, but I see no way out of these conclusions. Cricket, if it really is going to optimize for maximizing the long term health and popularity of the game, needs to shed an entire format and cross-subsidize another one for the foreseeable future. And bilateral cricket should die a natural death with Test cricket, whenever it happens. To be clear, my personal hope is that it never does. But I am betting, alas, that it will.

I would love to be wrong, but I fail to see how.

About This Measurement Business

(C) GDP figures are “man-made” and therefore unreliable, Li said. When evaluating Liaoning’s economy, he focuses on three figures: 1) electricity consumption, which was up 10 percent in Liaoning last year; 2) volume of rail cargo, which is fairly accurate because fees are charged for each unit of weight; and 3) amount of loans disbursed, which also tends to be accurate given the interest fees charged. By looking at
these three figures, Li said he can measure with relative accuracy the speed of economic growth. All other figures, especially GDP statistics, are “for reference only,” he said smiling.

https://wikileaks.org/plusd/cables/07BEIJING1760_a.html

This is an excerpt from the Wikileaks archive, and people familiar with modern economic history will know it all too well. This is, of course, the famous Li Keqiang index. If you prefer, you can read the original Economist article about it, although for once, the trademark Economist pun in the headline falls short of their typically high quality.

GDP measurements have always been tricky, and reading about GDP – it’s evolution, the data collection, the computation and the hajjar problems that arise from there – should be mandatory for any student aspiring to learn economics. Here’s a post from six years ago about some sources, if you’re interested.


But back to that excerpt above. What Li Keqiang was saying was that GDP statistics in China would often give a misleading picture, and he preferred to reach his own conclusions on the basis of other economic data. His preferred metrics were the ones mentioned in the abstract above: electricity consumption, volume of rail cargo and loans disbursed. Think of it this way: he’s really asking three questions. Is stuff being produced? Is stuff being moved around? Is stuff being purchased?

But what about covid times? Do these measures stand up, or do we need new proxies for GDP?

The variant’s speed also means that China’s economic prospects are unusually hard to track. A lot can happen in the time between a data point’s release and its reference period. The most recent hard numbers on China’s economy refer to the two months of January and February. Those (surprisingly good) figures already look dated, even quaint. For much of that period, there was no war in Europe. And new covid-19 cases in mainland China averaged fewer than 200 per day, compared with the 13,267 infections reported on April 4th. Relying on these official economic figures is like using a rear-view mirror to steer through a chicane.
For a more timely take on China’s fast-deteriorating economy, some analysts are turning to less conventional indicators. For example, Baidu, a popular search engine and mapping tool, provides a daily mobility index, based on tracking the movement of smartphones. Over the seven days to April 3rd, this index was more than 48% below its level a year ago.

https://www.economist.com/finance-and-economics/omicron-is-dealing-a-big-blow-to-chinas-economy/21808576

But as the article goes on to say, this metric will tell you about movement across cities. But metro traffic gives you an idea of intra-city mobility, as do courier company express deliveries (and we did some very similar exercises in India during the lockdowns, of course. Here’s one example for Pune district.)


But the point isn’t just to come up with what else might be useful as GDP proxies. A follow-up question becomes equally important: do the GDP statistics make sense? As the Economist articles says, good numbers for metrics such as investment in fixed assets are hard to square with declines in steel output. The article contains many other such examples, and what you should take away as a student is your ability to develop a “smell” test for a given economy. Don’t take the reported numbers at face value, but “see” if they seem to be in line with other statistics about that economy.

I really like this article as an introduction to this topic because it also hints at how statisticians need to be especially careful about comparing data over time. Weekly declines might happen because of festivals, bad weather or a thousand other things, which may of course be going on along with pandemic induced lockdowns. Teasing out the effects of just one aspect isn’t an easy thing to do.

And finally, think about how you can apply this lesson in other domains! Should an interviewer look only at marks, or try and figure out other correlates. Or, as Mr. Keqiang puts it, are marks “for reference only”? What about quarterly earnings reports? Press releases? Smell tests matter, and the earlier you start developing them, the better you get at detecting, and calling bullshit.


And finally, the concluding paragraph from the article we’ve discussed today:


To help avoid some of the traps lurking in these unconventional indicators, Mr Lu and his team watch “a bunch of numbers, instead of just one”. In a recent report he highlighted 20 indicators, ranging from asphalt production to movie-ticket sales. “If seven or eight out of ten indicators are worsening, then we can be confident that GDP growth is getting worse,” he says. Right now, he thinks, the direction is clear. “Something must be going very wrong.”

https://www.economist.com/finance-and-economics/omicron-is-dealing-a-big-blow-to-chinas-economy/21808576

Indeed.

Noah Smith Interviews Marc Andreessen

Every now and then (and I wish it was more often), I like reading something so much that I don’t just take notes, I put them down here rather than in Roam. It forces me take more careful, structured notes, and the act of writing it all down allows for more thoughts to bubble up – which is the whole point, no?

Noah Smith’s interview of Marc Andreessen definitely qualifies. It was interesting throughout, and I related with some of the points/concepts more than I would have wanted to1.

Before we begin, a quick aside: most of my thoughts and reactions to the interview are because of what I do, and where I’m located. I am in charge of one course at my University, and am also in charge of placements. This University is located in India. So my excerpts, and my reaction to those excerpts are contingent on these two things.

We’ll follow the usual format: excerpts, and then my thoughts.


Consider the three primary markers of the American Dream, or more generally middle class success — housing, education, and health care. You have written at length on how all three of these success markers seem further and further out of reach for many regular people. I think — and you would agree? — that these three deficits are not only causing problems for how people live and how the economy functions, but are fouling our politics quite dramatically.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

Education, in India at any rate, can either scale, or it can maintain quality. It has never been able to do both. How to increase scale without losing quality, and how to maintain affordable quality without gaining scale – both of these are really, really difficult questions to answer. The impossible trilemma of higher education in India, as it were. The BSc programme at the Gokhale Institute is (in my opinion, and it is of course a biased one) affordable quality. Far from perfect, I’ll be the first one to admit, and could always be a whole lot better, but I genuinely do think we’re doing good work. But scaling is impossible. And we all know of educational institutes that have managed to scale really well, but don’t do so well when it comes to quality.

And when I say quality, it is very much a “you know it when you see it” definition I am going with. Not NAAC reports or percentage of students placed.


Housing, education, and health care are each ferociously complex, but what they have in common is skyrocketing prices in a world where technology is driving down prices of most other products and services.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

Before you begin to read the rest of this post, please do learn more about the Baumol cost disease effect. That is certainly one of the factors at play. This post is the probably the best essay to read about the topic, but be warned: micro, when done right is (also) hard.

This chart from the interview is easier to think about if you’ve studied the Baumol effect well:

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

Software is a lever on the real world.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and (note that the emphasis on “lever” is in the original)

The Archimedes reference is obvious, but that’s not the reason I want to focus so much on just this one sentence. How exactly is software a lever on the entire world? Marc gives the examples of Lyft and Airbnb in the interview, but they’re the outcomes for having deployed software. The inner mechanism (I think) is that software goes a very long way towards reducing transaction costs, search costs and therefore overall friction in economic transactions.

The guy driving the rickshaw, and waiting for a customer at a traffic intersection isn’t aware of the person two blocks away who is outside their apartment building, waiting for a ride. Search costs. These are minimized because of the app.

The whole “bhaiya, xyz jaana hai” – “Itna duur, itna late, double bhada” – “kya bhaiya, itna thodi lagta hai” song and dance is avoided (although not always in a way that is fair to the rickshaw driver). Transaction costs. These are minimized because of the app.

And so more transactions take place than they would have if Uber/Lyft/Ola had not been around. And the same is true for Zomato, or Swiggy, or Airbnb or… you get the picture. This (I think) is the lever at play. More gets done because software is involved.

There are legitimate worries about whether the system is always fair, always perfect – and the short answer is always “no”. A better question to ask is if the world is better for these services being around – and the short answer (I think) is “yes”. The best question to ask is how these services could be made better – and Andreessen has suggestions later on in the interview about this.


Software is alchemy that turns bytes into actions by and on atoms.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

A lovely way to think about what software does, when used well.


Everywhere software touches the real world, the real world gets better, and less expensive, and more efficient, and more adaptable, and better for people. And this is especially true for the real world domains that have been least touched by software until now — such as housing, education, and health care.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

The Baumol effect has some potentially disturbing implications:

When we recognize that all prices are relative prices the following simple yet deep facts follow:
If productivity increases in some industries more than others then, ceteris paribus, some prices must increase.
Over time, all real prices cannot fall.

https://marginalrevolution.com/marginalrevolution/2019/05/the-baumol-effect.html

As a society it appears that with greater wealth we have wanted to consume more of the goods like education and health care that have relatively slow productivity growth. Thus, preferences have magnified the Baumol effect.

https://marginalrevolution.com/marginalrevolution/2019/05/the-baumol-effect.html

But I think what Marc Andreessen is (in effect) saying is this: sure, even accounting for the Baumol effect, are there ways to reduce search and transaction costs in education, healthcare and housing? And if yes, can we drive down prices in these sectors while maintaining (or even increasing!) quality? That’s the power and potential of software.

And yes, each one of us will react with differing levels of skepticism to the proposition. That’s fine, and I’d say desirable. But the idea is worth thinking about, no? (And if you say no, it’s not, I’d love to hear why you think so.)


It’s more the importance of communication as the foundation of everything that people do, and how we open up new ways for people to communicate, collaborate, and coordinate. Like software, communication technology is something that people tend to pooh-pooh, or even scorn — but, when you compare what any one of us can do alone, to what we can do when we are part of a group or a community or a company or a nation, there’s no question that communication forms the backbone of virtually all progress in the world. And so improving our ability to communicate is fundamental.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

Remember the “If you’re the smartest person in the room, you’re in the wrong room” quote2? The potential advantage of Clubhouse, Spaces (or whatever it will be called on all the apps that copy the concept) is that it solves for the geographic constraint when it comes to your menu of rooms to choose from. That’s what makes Twitter so great too – you never have to worry about being the smartest person on Twitter (and I mean that in the nicest way possible!).

It is a great time to be young and angry about the quality of the education system, because the internet can solve some of your problems better than was ever possible in the past.


It’s so striking that in our primarily textual technological world, people are instantly enthusiastic about the opportunity to participate in oral culture online — there is something timeless about talking in groups, whether it’s around a campfire 5,000 years ago or on an app today

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

At the Gokhale Institute, we were lucky enough to listen to a talk by Visvak where he spoke about some of the positive aspects of Clubhouse during the recent elections in Tamil Nadu. The ability to listen to, and possibly chat with, people with skin in the game who are actually Doing The Work, is truly remarkable. And again, what we have isn’t perfect, and it could be better, and there will be problems. The question to ask is if the world is better with Clubhouse (and it’s imitations) or without? And the better question to ask is how to improve upon it. But when I have the opportunity to listen to Krish Ashok talk about food on Twitter Spaces, and I see people just straight up ask Krish Ashok to host a Spaces about chai – well, what a time to be alive. No? (And if you say no, it’s not, I’d love to hear why you think so.)


Substack is causing enormous amounts of new quality writing to come into existence that would never have existed otherwise — raising the level of idea formation and discourse in a world that badly needs it. So much of legacy media, due to the technological limitations of distribution technologies like newspapers and television, makes you stupid. Substack is the profit engine for the stuff that makes you smart.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

I don’t exactly disagree with Marc Andreessen over here; but I have a lot of questions. I’ll list them here:

  • Substack is a substitute for blogs or newsletters, but with the additional ability to charge payments from subscribers for some (or all) of your posts. Is that a good definition of what Substack is?
  • Not all Substack writers will initially get enough paying subscribers. In fact, I think it is safe to say that most will never get (enough) paying subscribers. If the first sentence in the excerpt above is to be agreed with, what other incentive is at play for “enormous amounts of new quality writing” to come through? This is not intended as sarcasm or implied criticism – I really would like to know.
  • Especially in India, I completely agree that legacy media makes you stupid. It is the middle part of that sentence that I am not so sure about: I do not think it is just the technological limitations of distribution technologies that is at play. It’s a much broader question, but what other factors would you think are at play, and how does Substack help mitigate those other problems?
  • Is bundling inevitable on Substack? Shouldn’t it be? How will this play out? Will Revue stand a better chance as a bundle because it can be combined with so many other offerings?

This isn’t a complete list of questions, and I am not sure of the answers. But this is the part of the interview that I understood the least, for sure.


A longish excerpt in a longish post, but a very important one:

M.A.: My “software eats the world” thesis plays out in business in three stages:
1. A product is transformed from non-software to (entirely or mainly) software. Music compact discs become MP3’s and then streams. An alarm clock goes from a physical device on your bedside table to an app on your phone. A car goes from bent metal and glass, to software wrapped in bent metal and glass.
2. The producers of these products are transformed from manufacturing or media or financial services companies to (entirely or mainly) software companies. Their core capability becomes creating and running software. This is, of course, a very different discipline and culture from what they used to do.
3. As software redefines the product, and assuming a competitive market not protected by a monopoly position or regulatory capture, the nature of competition in the industry changes until the best software wins, which means the best software company wins. The best software company may be an incumbent or a startup, whoever makes the best software.

https://noahpinion.substack.com/p/interview-marc-andreessen-vc-and

For a great, and relatively early example of this playing out in practice, please listen to this podcast episode:

One simple viral video drove a pizza company to reinvent itself as a tech company. Walter Isaacson tells the story in this episode of Trailblazers.

https://www.delltechnologies.com/en-us/perspectives/podcasts-trailblazers-s01-e03-fast-food-delivery/

See this, for example, from the transcript:

So this is the part of the Domino’s story that struck me more than anything, when he simply declared for all to hear, we no longer think of ourselves as a pizza company. We think of ourselves as a technology company. I said, excuse me? Well, turns out, they’re headquartered in Ann Arbor, Michigan. They’ve got 800 people working in headquarters. Fully 400 of those, half of their headquarters employees, are engaged in software analytics and big data. They really– once they finally got the product right, they really are, from this point going forward, as much a technology company as they are a food company. And many of the initiatives have to do with making it as easy, as convenient, as kind of natural and impulsive almost to order Domino’s, much more so than any other pizza company.

https://www.delltechnologies.com/en-us/perspectives/podcasts-trailblazers-s01-e03-fast-food-delivery/

But, but, but – and this is where the “what I do and where I’m from part” really comes into play – has higher education in India successfully (or even partially) gone through Marc Andreessen’s three stage transformation?

Short answer, no.

Long answer: because “assuming a competitive market not protected by a monopoly position or regulatory capture” doesn’t apply in the case of higher education in India (yet). See this, this, this, and this from earlier on in EFE.

But especially see this! College, as I’ve written in this post, is a bundle. It sells you the learning (Coursera), the signaling (LinkedIn) and the peer network (Starbucks):

If you want to go up against college as a business, you need to sell the same thing that college is selling. And the college sells you a bundle.
A business that seeks to do better than college must do better on all three counts, not just on learning. All of the online learning businesses – Coursera is just one very good example – aren’t able to fill all of the three vertices just yet.
And that’s why education hasn’t been truly shaken down by the internet just yet:
Because college today is more about signaling than it is about learning, and because when you pay money to a college, you are getting a bundle.

https://econforeverybody.com/2020/03/12/signaling-bundling-and-college/

And partially by regulatory capture (UGC approved degree, yay!) and partly by cultural conformity (Sharmaji ka beta went to IIT. Whaddya mean, you will learn from YouTube. Kuch bhi!) we still celebrate getting into a “top” college.

Since “top” colleges know this, there is no incentive for them to change. And since ed-tech firms in India also know this, they design excellent software that is designed simply to get students into these colleges3.

And so we in the education sector in India continue to wait for the revolution.


Phew! That’s enough for today. I’ll be back tomorrow with Part II of my reflections on this interview.

  1. about which more below[]
  2. Was it really by Confucius? I don’t think so.[]
  3. that is a sweeping generalization, yes. I’m more than happy to be corrected on this. Please tell me more about ed-tech firms that are about learning for its own sake, not about entrance examinations[]

On Valuing Zomato, But Don’t Stop There

If you are a student of economics, you should be able to understand the basics of valuation. It is up to each one of us to determine our level of expertise, but at the very least, we should be able to understand valuations that others have arrived at.

And a great way to learn this is to devour, as greedily as possible, every single blog post written by Professor Aswath Damodaran.

Here’s an excerpt from his blogpost on valuing Zomato:

Eating out and prosperity don’t always go hand in hand, but you are more likely to eat out, as your discretionary income rises. Thus, it should come as no surprise that the number of restaurants increases with per capita GDP, and that one reason for the paucity of restaurants(and food delivery) in India is its low GDP, less than a fifth of per capital GDP in China and a fraction of per capital GDP in the US & EU.

http://aswathdamodaran.blogspot.com/2021/07/the-zomato-ipo-bet-on-big-markets-and.html

Read the whole thing, and if it is your first time reading about this topic, read it three times. I’m quite serious! Also download the spreadsheets, and play around with the assumptions in them. It is a great way to teach yourself Excel and valuations at the same time. Excel and valuations is also a great way to understand the concept of complementary goods, and I’m only half joking.


So, ok, you have now got a little bit of a grip on valuation. That’s great, but you shouldn’t stop there. Valuing a company is fine, but how does one think about the valuation of this company (Zomato) in the context of this sector (online food delivery)?

Here are some facts. Zomato raised $1.3 bn through an IPO which was oversubscribed 38 times and which valued it at $14.2 bn. At about the same time, its competitor Swiggy raised $1.25 bn in a Series J fund raise which gave it a post-money valuation of $5.5 bn.
The post-IPO public market price discovery of Zomato shows that Swiggy is 2.6 times under-valued.

https://gulzar05.blogspot.com/2021/07/some-observations-on-zomato-and-swiggy.html

Also from that post, a great way to understand how to start to think about the price one can get in the market. That is, you can learn all the theory you want about valuation, and pricing and what not. At the end of the day, the price you command in the market is about so much more than that:

4. But, if markets stay as frothy as it’s now, Swiggy’s promoters and investors need not worry. Unlike Zomato’s promoters who, judging from the first day pop left huge money on the table, Swiggy’s promoters could rake in much more by pricing its IPO closer to the comparator market price. Swiggy and other could benefit from the later mover advantage.
5. There appears to have been a first mover disadvantage for Zomato in leaving money at the table and not maximising its IPO takings. Conversely there may have been a first mover advantage for its investors in maximising their returns.

https://gulzar05.blogspot.com/2021/07/some-observations-on-zomato-and-swiggy.html

And you shouldn’t stop there either! Valuing a company is fine. Thinking about that company in the context of its competitors is great. Thinking about the IPO rush in the start-up world, and what it means in the context of the overall economy is fantastic.

The Indian startup scene has been set ablaze by the spectacular IPO of Zomato. In a largely conservative market this constitutes a huge collective leap of faith since the company has consistently made increasing losses and several questions hang on its profitability. With some more blockbuster IPOs lined up, the party is likely to go on for some time. Some high-profile boosters even think of it as a new dawn in risk capital raising. The problem is with those left standing when the party ends, as it must. And it’s most likely to be not pretty.

https://gulzar05.blogspot.com/2021/07/the-startup-ipo-bubble-reaches-india.html

The world’s unicorn herd is multiplying at a clip that is more rabbit-like. The number of such firms has grown from a dozen eight years ago to more than 750, worth a combined $2.4trn. In the first six months of 2021 technology startups raised nearly $300bn globally, almost as much as in the whole of 2020. That money helped add 136 new unicorns between April and June alone, a quarterly record, according to cb Insights, a data provider. Compared with the same period last year the number of funding rounds above $100m tripled, to 390. A lot of this helped fatten older members of the herd: all but four of the 34 that now boast valuations of $10bn or more have received new investments since the start of 2020.

https://www.economist.com/business/2021/07/19/technology-unicorns-are-growing-at-a-record-clip

Why is this happening now? Is it because of loose monetary policy the world over? Is it because of optimism about what the world will look like post-covid? Neither, and something else altogether? Or both and something else also? What might the ramifications be? How should that influence your thinking about the next three to five years in your life – when it comes to going abroad to study, or starting an MBA, or being in the job market?

Note the chain of thought in this blogpost: valuing a company, thinking about that specific sector, thinking about IPO’s in general, thinking about the overall economy… and getting all of that back to your life. Apply this to all of the news you read, everyday, and you’ll soon start to build your own little picture of the world. That is, you’ll start to see the world like an economist. And trust me, that is a superpower. 🙂

India, Bangladesh, GDP. Sigh.

When I explain GDP to folks unfamiliar with the concept, I often use the analogy of marks.

“Do you”, I intone in the most professorial voice I can muster, “remember how many marks you scored in your math exam when you were in the 4th grade?”

The point behind asking that question is to help the class realize that there were many other things going on in their life in the 4th grade. The measurement of how well you did on the specific questions you were asked in that test on that day do very little to show you how much math you actually learnt that year. Leave alone, of course, the question of how little the math test had to do with all of what you learnt while you were in the 4th grade.

A similar point was made about GDP recently, in the Business Standard:

Take GDP first. In India, we don’t measure the output of 65 per cent of the economy and make only well-informed guesses about the remaining 35 per cent.

https://www.business-standard.com/article/opinion/the-10-year-upa-nda-scorecard-120102400048_1.html

That’s exactly right, of course. You shouldn’t obsess over GDP numbers, much like you shouldn’t obsess over grades. But we do obsess over both!

And the analogy between marks and GDP works really well especially now, because when it comes to GDP, we now have a Sharmaji ka beta in the neighbourhood.

Hello, Bangladesh.

About two years ago, India’s Home Minister Amit Shah spoke of “infiltrators” who were hollowing out the country “like termites”. A Minister from Bangladesh retorted that Shah’s statement was “inappropriate”, “unwanted”, and “not based on information”. The IMF’s recent per capita GDP projections for South Asian countries show that the alleged ‘termite factory’ is shining — Bangladesh, which has been doing better than both India and Pakistan on social and human development indicators for several years now, is also beginning to march ahead on the economic front.

https://indianexpress.com/article/explained/an-expert-explains-how-bangladesh-has-reduced-gap-and-is-now-projected-to-go-past-india-6906206/

In much the same way that you shouldn’t compare marks obtained by students, you really shouldn’t compare GDP per capita between nations.

But (and you knew there was a but coming along, didn’t you), as I also say in my classes – what else you got, eh? It’s all well and good to say we shouldn’t, but it’s not like we have readymade alternatives. And if you take the GDP factory away from us economists, how do we fill our days?

TCA Srinavasa-Raghavan, in the same column cited above, has three answers:

Only three things: Food inflation, because it has a direct bearing on welfare; foreign exchange reserves, because they serve as a powerful signalling device to foreign investors and sellers of goods; and the revenue deficit. These are the only things the Centre has total control over. In determining all other indicators, the states play a big role.

https://www.business-standard.com/article/opinion/the-10-year-upa-nda-scorecard-120102400048_1.html

Read the whole article (which, I’m sorry, may well be behind a paywall). I don’t necessarily agree with all of it, about which more below, but the point that GDP is overrated as a useful barometer for the state of the economy is a point I agree with wholeheartedly.

TCA’s suggestions about what is to be used instead (food inflation, the revenue deficit and forex reserves) are worth considering, but there is a long list of alternatives that have been suggested. Here is just one example:

Provincial officials have long been suspected of overstating growth. Adding their figures together suggests that China’s economy was $364 billion bigger in 2009 than the total in the national accounts. Mr Li preferred to track Liaoning’s economy by looking at other indicators: the cargo volume on the province’s railways, electricity consumption and loans disbursed by banks.

https://www.economist.com/asia/2010/12/09/keqiang-ker-ching

Other folks may come up with other things to use as a proxy for measuring the state of the economy, but really, it is the old story of the six blind men and the elephant all over again. Whatever you use will give you only a limited picture. That’s just the nature of the beast.

Worse! Whatever you agree to measure instead of GDP immediately becomes susceptible to Goodhart’s Law:

In a paper published in 1997, Anthropologist Marilyn Strathern generalized Goodhart’s law beyond statistics and control to evaluation more broadly. The phrase commonly referred to as Goodhart’s law comes from Strathern’s paper, not from any of Goodhart’s writings:

When a measure becomes a target, it ceases to be a good measure.

https://en.wikipedia.org/wiki/Goodhart%27s_law

(Emphasis added)

So sure, you could ask that food inflation, revenue deficits and forex reserves be the target. But it’ll just be cobras or rat tails all over again.

So GDP, whether you like it or not, whether its measurement is favorable or not, is not going to go away anytime soon, whether in India or elsewhere.

Consider the concluding paragraph from a column in the Livemint yesterday by R Jagannathan:

This does not make GDP calculations worthless, but the real focus should be on sectors. More than macroeconomics, sectoral understanding and microeconomics ought to be central to policy-making. Future GDP will best be estimated as a sum of its parts, and not as a whole extrapolated from numbers in the more visible parts of the economy.

https://www.livemint.com/opinion/online-views/the-fallacy-of-equating-growth-with-the-pursuit-of-higher-gdp-11603811210462.html

Yes, well, sure. Absolutely.

Now if only we could figure out the how.

On Interning

It is hunt-for-an-internship season at our Institute, as I suppose is the case all over the country.

The process is trickier than usual, because of the pandemic, and for that reason I wanted to put up a small outline of my thoughts about internships.

  1. At the start of your career, optimize for learning, rather than branding. This means that in your internship, and your first job, you should optimize for firms where you are likely to learn a lot, rather than firms that are prestigious. Prestigious firms are likely to be more bureaucratic, and more about status. This means that the junior employees aren’t likely to get a lot of crucial, really important work. The pay will be better, the Friday parties will definitely be better, but the opportunity cost will be high as well.
  2. Learning how to document the work you’ve done is a very, very underrated skill, especially in internships. One way to be really and truly remembered at the end of your internship is by handing your mentor a docket of what you did, what you wish you had done, and a documentation of all the processes you learnt about.
  3. Best of all, include a section for the next intern in this team. Include stuff like who to meet in payroll, where is the best chai to be had, who in IT is especially helpful etc, along with the obvious stuff. Not only is paying it forward a good idea in and of itself, but that next intern is automatically a friend for life.
  4. Go for all the chai and sutta beaks that you are invited to, even if you don’t smoke or drink chai. Relaxed conversations with your mentors or seniors is invaluable, and soak in all the info you possibly can.
  5. Learn Excel. Here’s a laundry list to get you started: HLOOKUP, VLOOKUP, INDEX, MATCH, OFFSET, SUM, SUMPRODUCT, COUNTIF (and all the variants). Pivots, filters, data analysis add-in, solver add-in, charts, trace precedents, what-if analysis, data tables, goal seek, data validation. You must know all of this in and out, and be able to know what you can use when. YouTube videos, websites will help, but the best way to learn is to sit with a colleague and ask her to help you out. I cannot emphasize this enough – you need to know Excel. It doesn’t matter which role, which team, which department. You. Must. Know. Excel.
  6. Whatever productivity suite your organization is using, soak yourself in it. GSuite, MS Office or anything else. Know the ins and outs of the email system, the calendar tool and the internal messaging tool. Invest the time to make yourself a ninja in it. Trust me, it is worth the effort.
  7. Seek out a mentor in the organization if one isn’t allotted to you. Set up weekly lunch/tea meetings with the mentor, and have her tell you stories about stressful times in the office.
  8. Continue to learn whatever tools you got access to at the workplace. It could be Tableau, Crystal Ball, R, Jupyter notebooks or anything else. Again, soak yourself in the tool, and start on the path of becoming a ninja in it. This will take time, but it is worth your while.
  9. Learn the big picture. Ask your mentor how whatever project you are working on fits into the larger objectives of the workplace. My very first manager told me something I have never forgotten: every single thing you do in the workplace is either raising revenues for the firm, or is cutting costs for the firm, or is improving speed-to-market. If what you’re doing is achieving neither of these three, then it is a waste of time. Ask, until you are clear about the answer, how your project fits into this simple model.
  10. Lastly, about landing an internship. Do not send out blanket emails to contacts on LinkedIn, or elsewhere. Shortlist not less than ten, but not more than twenty people, and write them a personalized note. These folks should have skillsets you want to possess – it doesn’t matter where they work. The note should include a specific question about this skillset. If they answer – and to such specific notes they usually will – take their advice to heart. Incorporate it into a project you are working on. Send them this project, and ask for feedback. Then ask if they can help you land a gig. All the notes I get on LinkedIn just ask for a gig. That’s a waste of a potential networking opportunity.