Abstract
In this paper we present the basics of a research program aimed at providing microfoundations to macroeconomic theory on the basis of computational agent-based adaptive descriptions of individual behavior. To exemplify our proposal, a simple prototype model of decentralized multi-market transactions is offered. We show that a very simple agent-based computational laboratory can challenge more structured Dynamic Stochastic General Equilibrium models in mimicking comovements over the business cycle.
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Notes
The attempt by Lucas to build a monetary theory of business cycles in terms of informational asymmetries and misperceptions in a Walrasian framework [Lucas 1972; 1975] was discarded as logically inconsistent by Okun [1980] and Tobin [1980], in the same issue of the Journal of Money, Credit and Banking hosting the piece by Lucas cited in the main text. Lucas himself implicitly recognized it 5 years later, when he focused his 1985 Yrjö Jahnsson lectures on business cycles entirely on the RBC approach of Kydland and Prescott [Lucas 1987].
Fixed-point theorems are also at the root of some impossibility results in computable economics. We will briefly touch on this point later on.
A possible way to define Knightian uncertainty is that the potential outcomes of an action are identified by two or more distributions at one time, and that these distributions are overlapping.
Several interpretations of the acronym KISS circulate, most of them overlapping. The one we prefer is keep it short and simple.
In simulations, we fixed the duration of contracts to 8 periods, while the minimum wage is revised every 4 periods. If we assume that one simulation period corresponds to a quarter, this means that labor contracts last two years, while the minimum wage is revised annually.
Examples of degenerate dynamics we want to avoid are extremely unstable aggregate GDP paths, average rates of bankruptcy and unemployment over 50 percent, and average rates of annualized inflation out of the interval (−100 percent, +1,000 percent).
We use the Hodrick–Prescott filter with the smoothing parameter λ set at 1,400.
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We are indebted to three anonymous referees for helpful comments on an earlier draft of this paper.
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Gaffeo, E., Delli Gatti, D., Desiderio, S. et al. Adaptive Microfoundations for Emergent Macroeconomics. Eastern Econ J 34, 441–463 (2008). https://doi.org/10.1057/eej.2008.27
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DOI: https://doi.org/10.1057/eej.2008.27