In Praise of GLS Shackle

You must have heard of the drunk who was searching for his keys under a streetlight. When asked why he is searching here, rather than the place where he had dropped the keys, the drunk replies that he can see well over here.

Haha and all that.

Here’s Kenneth Arrow writing about a person you likely have not heard of, GLS Shackle. Arrow is writing about why people aren’t interested in reading Shackle anymore:

The reason for the current lack of interest is probably not any denial that Shackle’s position is fundamentally correct; it is the absence of the analytic tools needed to make the exceptional approach capable of generating operationally meaningful conclusions.

https://www.journals.uchicago.edu/doi/abs/10.1086/257884

What was GLS Shackle’s position, and who was GLS Shackle?

GLS Shackle was an economist. Wikipedia tells us that he started work on a PhD under the supervision of Hayek, but that he later switched to “an interpretation of Keynes’s General Theory of Employment, Interest and Money”. Because we know that the truth lies somewhere in the middle, this is a most wonderful thing, of course. Note too that there is a correct way to handle a situation such as this, and Hayek was more than up to the task:

A student of Hayek’s at the London School of Economics in the 1930s, Shackle renounced his early Hayekian views and the doctoral dissertation on capital theory that he had already started writing under Hayek’s supervision, after hearing a lecture by Joan Robinson in 1935 about the new theory of income and employment that Keynes was then in the final stages of writing up to be published the following year as The General Theory of Employment, Interest and Money. When Shackle, with considerable embarrassment, had to face Hayek to inform him that he could not finish the dissertation that he had started, no longer believing in what he had written, and having been converted to Keynes’s new theory. After hearing that Shackle was planning to find a new advisor under whom to write a new dissertation on another topic, Hayek, in a gesture of extraordinary magnanimity, responded that of course Shackle was free to write on whatever topic he desired, and that he would be happy to continue to serve as Shackle’s advisor regardless of the topic Shackle chose.

https://uneasymoney.com/2014/01/22/g-l-s-shackle-and-the-indeterminacy-of-economics/

And what was his position? This is not an easy question to answer, and I will admit that I am not entirely sure of the correct answer. But given that disclaimer, here is the best I can do:

You can either reject rationality or time


What does this mean, and why does it matter?

A rational-expectations model allows for stochastic variables (e.g., will it be rainy or sunny two weeks from tomorrow), but those variables are assumed to be drawn from distributions known by the agents, who can also correctly anticipate the future prices conditional on any realization (at a precisely known future moment in time) of a random variable. Thus, all outcomes correspond to expectations conditional on all future realizations of random variables; there are no surprises and no regrets. For a model to be correct and determinate in this sense, it must have accounted fully for all the non-random factors that could affect outcomes. If any important variable(s) were left out, the predictions of the model could not be correct. In other words, unless the model is properly specified, all causal factors having been identified and accounted for, the model will not generate correct predictions for all future states and all possible realizations of random variables. And unless the agents in the model can predict prices as accurately as the fully determined model can predict them, the model will not unfold through time on an equilibrium time path. This capability of forecasting future prices contingent on the realization of all random variables affecting the actual course of the model through time, is called rational expectations, which differs from perfect foresight only in being unable to predict in advance the realizations of the random variables. But all prices conditional on those realizations are correctly expected

https://uneasymoney.com/2014/01/22/g-l-s-shackle-and-the-indeterminacy-of-economics/

I wouldn’t blame you if your eyes glazed over while reading this. But bear with me, and let’s go over this slowly:

  1. Imagine that you are a farmer, and you are going to harvest strawberries two weeks from now.
  2. If it rains at or around the time of the harvest, your harvest is going to be destroyed. If it doesn’t rain, you will have strawberries to sell. Should you assume that you will have a harvest ready to sell, or not?
  3. Imagine that your best friend has a shop that sells smartphones, and you’ve told him that you will buy a smartphone from his shop, once you’ve sold your strawberries. Should he assume the sale of a smartphone to you, or not?
  4. The strawberries from your farm are usually purchased by a jam manufacturing company. This company has, for the first time ever, won a contract to sell its famous strawberry jam to Walmart. They got this contract because of the quality of your strawberries. No harvest on your farm, no sale of their jam to Walmart.
  5. This firm has promised temporary employment to locals to make this jam, who in turn have promised their families a trip to their hometown once the jam manufacturing company pays them.
  6. Toy manufacturers in that hometown are anticipating a rise in sales when these families come visiting.
  7. We don’t know if it will rain in two weeks or not. Nobody does. But should we assume that we can forecast rain with x% probability?
  8. And should we therefore assume that we know today the prices of smartphones, the wage-rate for hiring workers to make jam, the price of a ticket to a village nearby, and the prices of toys in that village – all of these two weeks from now?
  9. Now read the last two sentences in that excerpt above:
    “This capability of forecasting future prices contingent on the realization of all random variables affecting the actual course of the model through time, is called rational expectations, which differs from perfect foresight only in being unable to predict in advance the realizations of the random variables. But all prices conditional on those realizations are correctly expected”

GLS Shackle was saying that there is no such thing as rational expectations, because, well, time. That is, if you accept rational expectations as a feature of your model, you must reject time. And if you accept time, you must reject rational expectations.

So, dear reader, do you accept the existence of time, or not?


But what does the “existence of time” mean, in the context of economics?

Note that I am going to keep things as simple as possible, both for your sake and mine. And the simplest possible answer to this question is this:

Acknowledging the existence of time necessarily implies that the future is always, and by definition, unknowable

You have two choices: to continue reading from here on in, or to stop reading at this point. You have created your future by choosing one of these two courses of action. And until you make that choice, your future is unknown.

If, after you stopped reading, you walked into a store and purchased a jar of strawberry jam, you changed the future of the store owner, the strawberry jam manufacturer, the part time employee of the strawberry jam manufacturer, the kid of the part time employee and the toy manufacturer. If you didn’t stop reading, and therefore ran out of time to buy that jar, you changed their future too! And of course, if it rains (rained?) in the next two weeks, there might not be any strawberry jam to buy in the first place! Oh, and of course you could sprain your ankle while stepping into that store. Or <insert random event of your choice here>.

We just don’t know what our future holds, and our future is being shaped and fashioned by the choices made by million of other people – in much the same way that their futures are being shaped and fashioned by the choices made by you.

Bottomline?

Acknowledging the existence of time necessarily implies that the future is always, and by definition, unknowable

Again, GLS Shackle was saying that there is no such thing as rational expectations, because, well, time. That is, because the future is inherently and by definition unknowable – not predictable, not modelable – there can be no such thing as rational expectations.


Is there any point, then, to building a rational expectations model?

If you say no, you are a newly minted member of Team Shackle. If, on the other hand, you say yes – well, I hope you find those keys of yours under this streetlight.

Good luck!

So You Think You’ve Understood Macro…

Warning: this post actually isn’t “for everybody”.

Teaching macro is hard enough. Teaching macro to non-economists is all but impossible, because things get really messy really quickly – and I cannot emphasize how messy, and how quickly. The simplest way to teach macro to non-economists is to say that macroeconomics attempts the impossible – it tries to analyze too many variables at the same time in a gloriously inadequate framework, with not enough attention being given to how to understand, measure and forecast risk uncertainty.

And that’s before we’ve even touched the concept of time and inherent unknowability!((I’m genuinely curious: if you’ve been taught a course in theoretical macro, did G.L.S. Shackle ever come up for discussion?))

Shackle went on to write that what the market equilibrium conception showed was a world of perfect knowledge frozen in time. It thereby negated itself as being of any use in a world where knowledge of the future is impossible and time moves in one direction. In such a world the action of human beings must be in part based on reason and in part on imagination—specifically, imagination with respect to what various individuals imagine the future might be or even should be. Shackle wrote that neoclassical economics rested on a teleological or pre-determined future and thus left no space for human choice which was inherently tied up with a human being’s capacity to freely imagine what might be in store in the future.

https://en.wikipedia.org/wiki/G._L._S._Shackle#Equilibrium_versus_time

I’m going to sound very woo-woo when I say this, but if at the end of your macro semester you think you’ve understood the subject, then both you and your prof haven’t done a very good job. Macro is hard, and the macroeconomy is inherently unknowable, and yes, I’m willing to die on this hill.

But that does not mean it is not worth studying! Quite the contrary, in fact: it is precisely this reason – the inherent unknowable nature of macro – that makes it so fascinating to study.((Quite like studying theology, no?))

And if you are somewhat familiar with macro – say you’ve spent a semester or so studying it, maybe a bit more – then a good way to check if you have “understood” the subject is to read this lovely little essay by Trevor Chow. (Please, be warned, if you have not had a course in theoretical macro, this essay will make very little sense, and you absolutely should not read it. )

Description: The goal is to bring you up to speed from knowing nothing about business cycle macroeconomics till you know everything you want to know about it at an intermediate macro level within a single post. We’ll mess around with the notion of goods and money market equilibrium to see where it takes us, though if you want to get to the interesting stuff and already know enough about IS-LM etc, feel free to skip to Part 4 and onwards. This is probably, even more than my growth series, the hardest I’ve tried at making things accessible and clear, so please do get in touch if you think there are things which are underexplained or could be rewritten. And check out Miles Kimball and Nick Rowe, whose ideas I borrow very generously from in this post.

https://tmychow.com/blog/2021/03/29/the-fallacy-of-composition

It’s very simply written, and is easily understandable – and trust me, that is hard to do when it comes to macro. It covers a lot of useful concepts, and there is a lot of back and forth between various schools of thought in macroeconomics.

My favorite excerpt was this one:

Macroeconomics is itself quite difficult, because even in the simplest business cycle models we are interested in all sorts of things: output, consumption, investment, the real interest rate, the nominal interest rate, prices, the money supply and inflation. Squeezing all of this into a static model is nigh impossible. Although I do think the canonical IS-LM model can be a bit deceptive with respect to interest rates, the idea of reconciling the goods and money markets is a useful approach. And by putting the IS-LM model through its paces, we’ve already illustrated some important ideas:

That the short run is a monetary question and not one of price adjustment
That there can be indeterminacy or unstable equilibria with bad monetary regimes
That liquidity traps and debt deflation can cause problems, but liquidity traps are really expectations traps
That there are good reasons for the Taylor rule and the Taylor principle

https://tmychow.com/blog/2021/03/29/the-fallacy-of-composition

Again, let me reiterate my basic point: if you are left with the feeling that you “get” macro, beware. Read more, and keep asking how you might be wrong in your understanding of the subject. And excellent places to begin would be Frank Knight and GLS Shackle – even the Wikipedia articles are more than enough to get started!

Bonus reading material: Snowdown and Vane.((These prices make no sense whatsoever. Pah.))

I’ve said it before, and I’ll say it again: macro is hard!