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Economics and Psychology. Perfect Rationality versus Bounded Rationality

Authors: SCHILIRO', Daniele;

Economics and Psychology. Perfect Rationality versus Bounded Rationality

Abstract

Classical mathematical algorithms often fail to identify in time when the international financial crises occur although, as the classical theory of choice would suggest, the economic agents are rational and the markets are or should be efficient and behave also rationally. This contribution does not pretend to give a complete answer to these questions, but it will highlight some well-known limits of the classical theory of rational choice and compare this theory of choice with the approach that seeks to combine economics and psychology, focusing on Herbert Simon’s notion of bounded rationality. The work also makes some references to the literature of behavioral finance which has given important contributions in explaining the behavior and the anomalies of financial markets. Finally, following the approach of Simon, the paper proposes an analytical model to describe the behaviour of agents which are rationally bounded, risk averse and loss averse, emphasizing the relationship between psychology and economics which helps to explain the crises in financial markets.

Countries
Italy, Germany
Keywords

D81 - Criteria for Decision-Making under Risk and Uncertainty, Communication, Unawareness, Information and Knowledge, Bounded rationality; procedural rationality; rational choice; cognitive economics, C00 - General, B52 - Institutional, D83 - Search, Belief, Evolutionary, Learning, jel: jel:D81, jel: jel:B52, jel: jel:D83, jel: jel:C00

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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