Macroeconomic challenges
from Lars Syll
In discussing macroeconomics’ Faustian bargain, Simon [Wren-Lewis] asks:
“By putting all our macroeconomic model building eggs in one microfounded basket, have we significantly slowed down the pace at which macroeconomists can say something helpful about the rapidly changing real world?”
Let me deepen this question by pointing to five newish facts about the “real world” which any good, useful macro theory should be compatible with.
1. The unemployed are significantly less happy than those in work. This doesn’t merely provide the justification for an interest in macroeconomics. It also casts grave doubt upon RBC-style theories which unemployment is voluntary …
2. Price and wage stickiness is over-rated … Price stickiness isn’t universal …
3. The failure of a handful of organizations can have massive macroeconomic consequences … We need models in which micro failures generate macro ones …
4. Supply shocks do happen. It’s improbable that all productivity fluctuations are due merely to labour hoarding in the face of demand shocks …
5. Interactions between agents can magnify fluctuations. We know there are expenditure cascades, which occur because consumers copy other consumers …
These facts are a challenge to both RBC and New Keynesian models. But they have something in common. They stress the heterogeneity of agents … This, I fear, means that the problem with conventional macro isn’t so much its microfoundations per se as the assumption that these microfoundations must consist in representative agents.
Yes indeed, the assumption of representative agents is a critical one in modern macroeconomics — as is the insistence on microfoundations.
The purported strength of New Classical and “New Keynesian” macroeconomics is that they have firm anchorage in preference-based microeconomics, and especially the decisions taken by inter-temporal utility maximizing “forward-loooking” individuals.
To some of us, however, this has come at too high a price. The almost quasi-religious insistence that macroeconomics has to have microfoundations – without ever presenting neither ontological nor epistemological justifications for this claim – has put a blind eye to the weakness of the whole enterprise of trying to depict a complex economy based on an all-embracing representative actor equipped with superhuman knowledge, forecasting abilities and forward-looking rational expectations. It is as if – after having swallowed the sour grapes of the Sonnenschein-Mantel-Debreu-theorem – these economists want to resurrect the omniscient walrasian auctioneer in the form of all-knowing representative actors equipped with rational expectations and assumed to somehow know the true structure of our model of the world (how that could even be conceivable is beyond my imagination, given that the ongoing debate on microfoundations, if anything, shows that not even we, the economists, can come to agreement on a common model).
Microfoundations is thought to give macroeconomists the means to fully predetermine their models and come up with definitive, robust, stable, answers. In reality we know that the forecasts and expectations of individuals often differ systematically from what materialize in the aggregate, since knowledge is imperfect and uncertainty – rather than risk – rules the roost.
And microfoundations allegedly goes around the Lucas critique by focussing on “deep” structural, invariant parameters of optimizing individuals’ preferences and tastes. This is an empty hope without solid empirical or methodological foundation.
The kind of microfoundations that “New Keynesian” and New Classical general equilibrium macroeconomists are basing their models on, are not – at least from a realist point of view – plausible.
Without export certificates models and theories should be considered unsold. Unfortunately this understanding has not informed modern neoclassical economics, as can be seen by the profuse use of so called representative-agent models.
A common feature of modern neoclassical macroeconomics is to use simple (dynamic stochastic) general equilibrium models where representative actors are supposed to have complete knowledge, zero transaction costs and complete markets.
In these models, the actors are all identical. Of course, this has far-reaching analytical implications. Situations characterized by asymmetrical information – situations most of us consider to be innumerable – cannot arise in such models. If the aim is to build a macro-analysis from micro-foundations in this manner, the relevance of the procedure is highly questionable (Robert Solow has even considered the claims made by protagonists of rational agent models “generally phony”).
One obvious critique is that representative-agent models do not incorporate distributional effects – effects that often play a decisive role in macroeconomic contexts. Investigations into the operations of markets and institutions usually find that there are overwhelming problems of coordination. These are difficult, not to say impossible, to analyze with the kind of Robinson Crusoe models that, e. g., Real Business Cycle theorists employ and which exclude precisely those differences between groups of actors that are the driving force in many non-neoclassical analysis.
The choices of different individuals have to be shown to be coordinated and consistent. This is obviously difficult if the macroeconomic models don’t give room for heterogeneous individuals (this lack of understanding the importance of heterogeneity is perhaps especially problematic for the modeling of real business cycles in dynamic stochastic general equilibrium models). Representative-agent models are certainly more manageable, however, from a realist point of view, they are also less relevant and have a lower explanatory potential.
Both the “Lucas critique” and Keynes’ critique of econometrics showed that it was inadmissible to project history on the future. Consequently an economic policy cannot presuppose that what has worked before, will continue to do so in the future. That macroeconomic models could get hold of correlations between different “variables” was not enough. If they could not get at the causal structure that generated the data, they were not really “identified”. Lucas himself drew the conclusion that the problem with unstable relations was to construct models with clear microfoundations where forward-looking optimizing individuals and robust, deep, behavioural parameters are seen to be stable even to changes in economic policies.
In microeconomics we know that aggregation really presupposes homothetic an identical preferences, something that almost never exist in real economies. The results given by these assumptions are therefore not robust and do not capture the underlying mechanisms at work in any real economy. And as if this was not enough, there are obvious problems also with the kind of microeconomic equilibrium that one tries to reduce macroeconomics to. Decisions of consumption and production are described as choices made by a single agent. But then, who sets the prices on the market? And how do we justify the assumption of universal consistency between the choices?
Models that are critically based on particular and odd assumptions – and are neither robust nor congruent to real world economies – are of questionable value.
And is it really possible to describe and analyze all the deliberations and choices made by individuals in an economy? Does not the choice of an individual presuppose knowledge and expectations about choices of other individuals? It probably does, and this presumably helps to explain why representative-agent models have become so popular in modern macroeconomic theory. They help to make the analysis more tractable.
One could justifiably argue that one might just as well accept that it is not possible to coherently reduce macro to micro, and accordingly that it is perhaps necessary to forswear microfoundations and the use of rational-agent models all together. Microeconomic reasoning has to build on macroeconomic presuppositions. Real individuals do not base their choices on operational general equilibrium models, but rather use simpler models. If macroeconomics needs microfoundations it is equally necessary that microeconomics needs macrofoundations.
The microeconomist Alan Kirman has maintained that the use of representative-agent models is unwarranted and leads to conclusions that are usually both misleading and false. It’s a fiction basically used by some macroeconomists to justify the use of equilibrium analysis and a kind of pseudo-microfoundations. Microeconomists are well aware that the conditions necessary to make aggregation to representative actors possible, are not met in actual economies. As economic models become increasingly complex, their use also becomes less credible.
Even if economies naturally presuppose individuals, it does not follow that we can infer or explain macroeconomic phenomena solely from knowledge of these individuals. Macroeconomics is to a large extent emergent and cannot be reduced to a simple summation of micro-phenomena. Moreover, as we have already argued, even these microfoundations aren’t immutable. Lucas and the New Classical economists’ deep parameters – “tastes” and “technology” – are not really the bedrock of constancy that they believe (pretend) them to be.
In microfounded-rational-expectations-representative-agent macroeconomics the economy is described “as if” consisting of one single agent – either by inflating the optimization problem of the individual to the scale of a whole economy, or by assuming that it’s possible to aggregate different individuals’ actions by a simple summation, since every type of actor is identical.
It would be better to just face the truth — it is impossible to describe interaction and cooperation when there is essentially only one actor.

































the most obvious case when representative agent fails — is in the financial markets when for every bear who sells there must be a bull who buys!
What is necessary is microfoundations that reflect reality– microfoundations that Keynes expresssly used in building macroeconomic aggregate demand and supply functions from Marshallian (not Walrasian) microfoundations. . I explicitly demonstrate this Keynes building of aggregate demand and supply functions from micro Marshallian functions in my text book POST KEYNESIAN MACROECONOMIC THEORY.
Unfortunately despite good or even rave reviews few economists read this text or even worse most refuse to use the text in teaching macroeconomics — even those who bellyache about mainstream macroeconomic analysis. Why???
Feb. 20,2014
In order to fully understand what follows & its close relationship to Lars Syll’s crystal clear article above, and the content of TELOS & TECHNOS, Please refer to:
[1] Krugman gets it Right on Sticky Wages, by Lars Syll, Oct. 14, 2013, #2,especially last paragraph.
[2] Krugman on Math & Models in Economics, by Lars Syll, Nov.23,2013, Scroll down to #2, and go to {1}
{3} Economics’ Odd Couple by Steve Keen, Oct. 28, 2013, #7 especially the second paragraph
{4} The Keynes Solution by Paul Davidson, Original Oct. 24, 2009, Scroll down to # 10, July 23, 2013 by Norman L. Roth
There’s nothing further to be gained by the “echolalia” of cussing-out,the cult of the “Representative Agent”, “Real Business Cycles cum shock”, “Equilibrium constants”, “homogeneous labor”, Cobb-Douglas Production functions, spurious quantification [e.g. bizarre attempts to ‘quantify’ capital into cumulatable substance ]: To name the worst cases.
All these constructs are symptoms, not causes, of the pseudo-scientific mindset that gave us neoclassical economics, ‘scientific socialism’, the technologically steerable ‘closed loop’ macro-economy, Keynesian Hydraulics [Tustin in the 1950’s], Titration – Monetarism [Irving Fisher, Milton Friedman],Expiry-dated paper money, and a host of other “Funny money” schemes: All designed to liberate us from the tyranny of various master manipulators and 24/7 conspiracy machines.
A practical macro-economics cannot escape the necessity of explaining the micro-foundations of the MACROECONOMY. That’s why we cannot avoid the inherently gestalt nature of Economic life. That’s what links the micro to the macro. Because the interactive processes of human consciousness [a la Thorstein Veblen & Roger Penrose] cannot be “added-up” or neatly differentiated quantifiably, along a continuum composed of unitary, homogeneous, representative anythings: As Keynes pointed out in 1926. Once we learn to live with this reality, we’ll be “at home” with the EMERGENT properties that follow in the wake of gestalt systems: [1] The Current Conception of the Standard of the Life [Not Walrasian fixed tastes], [2] Technological Time, and a standard classification of technologies: not the ceteris paribus evasion of holding ‘technique’ constant so as to make economic analysis “tractable’ : Or reduce the consequences of our Promethean drives to a Solow ‘residual’ [3] The Natural Participation rate, not the utopian fantasy of perpetual full employment equilibrium. The Equilibrium construct, denounced so roundly by Gunnar Myrdal in 1957, may well be the #1 Ptolomeic fallacy [by no means the only one] that has held Economics in the thrall of stagnation for so long. Along with the insidious clinging to the Positivist-Ergodic fantasy, that economic phenomena is as capable of being quantifiably observable, controllable and temporally predictable as in the Physical Sciences. Thank you for your indulgence & patience.
Norman L. Roth, Toronto, Canada, Please GOOGLE {1} Origins of Markets, Norman L. Roth
[2] Economics of Technos, Norman L. Roth {3} TELOS & TECHNOS, Roth
One can’t imagine an identical-agent model to work beyond the simplest of artificial test cases. I’m not sure if microfoundations would work or not, but for a credible try you need a massive statistically varied population of actors *and* you need to place these actors in a graph.
People don’t interact with “the market”. They interact with employers, family members, nearby stores, brands they know, ads they receive, and suppliers they choose. That’s a graph of economic relationships – some short lived, such as buying a pizza, some long like family or employment. If one makes a massive model of both the people and the graph that might get somewhere. Economies are graphs.
Is anyone? I heard of some early research based on massive simulations from ETH but not more broadly. As for using graphs, where are they in economics?