Answer
Some economists are dissatisfied with rational expectations models due to their assumptions of perfect information and optimization, which may not reflect real-world behavior. Complexity theory and Post-Keynesian theory offer different perspectives that may better capture the dynamic and uncertain nature of the macroeconomy.
Solution
a
Dissatisfaction with Rational Expectations Models:
Economists are dissatisfied with rational expectations models for several reasons, including the assumption of perfect information, the neglect of real-world frictions and complexities, and the inability to account for economic crises and persistent unemployment.
Complexity theory may fare better as it incorporates heterogeneous agents, non-linear dynamics, and network effects, which can lead to emergent macroeconomic phenomena not captured by rational expectations models.
Post-Keynesian theory may also fare better by emphasizing the role of uncertainty, the non-neutrality of money, and the importance of effective demand, which challenge the rational expectations assumption of market clearing and equilibrium.
Key Concept
Rational Expectations Models
Explanation
Rational expectations models assume that agents have perfect foresight and use all available information to make optimal decisions, leading to a tendency to underestimate the complexity of economic behavior and overstate the stability of the economy.
Key Concept
Explanation
Complexity theory in macroeconomics takes into account the interactions between agents and the resulting non-linear dynamics, which can lead to more realistic models of economic fluctuations and financial crises.
Key Concept
Explanation
Post-Keynesian theory focuses on the role of uncertainty, the endogeneity of money, and the principle of effective demand, which can lead to persistent disequilibrium and the importance of fiscal and monetary policies in stabilizing the economy.