Behavioral & Experimental Macroeconomics and Policy Analysis: A Complex Systems Approach

By Cars H. Hommes. Social Science Research Network, 2018

157 citations recorded by the source corpus.

This survey discusses behavioral and experimental macroeconomics emphasizing a complex systems perspective. The economy consists of boundedly rational heterogeneous agents who do not fully understand their complex environment and use simple decision heuristics. Central to our survey is the question under which conditions a complex macro-system of interacting agents may or may not coordinate on the rational equilibrium outcome. A general finding is that under positive expectations feedback (strategic complementarity) – where optimistic (pessimistic) expectations can cause a boom (bust) – coordination failures are quite common. The economy is then rather unstable and persistent aggregate fluctuations arise strongly amplified by coordination on trend-following behavior leading to (almost-)self-fulfilling equilibria. Heterogeneous expectations and heuristics switching models match this observed micro and macro behaviour surprisingly well. We also discuss policy implications of this coordination failure on the perfectly rational aggregate outcome and how policy can help to manage the self-organization process of a complex economic system. JEL Classification: D84, D83, E32, C92

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/db9ea907e5bf81cc28839483578bc0bf8f01fe54

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In Economics and Econometrics

Citations in the corpus

Economic Forecasting with an Agent-Based Model (2020, background): “See, e.g. the ecent contribution of De Grauwe and Ji (2020) or the recent overview in Hommes (2021).”