Itzhak Gilboa / Professor of Economics & Decision Sciences at HEC Paris (AXA Chair for Decision Sciences)

Last updated on profile page : November 27th, 2012

BIO

Itzhak Gilboa is Professor of Economics and Decision Sciences at HEC (École des Hautes Études Commerciales), Paris, and Professor of Economics at Berglas School of Economics, Tel Aviv University.

He works in decision theory and other fields in economic theory such as game theory and social choice. His main interest is in decision under uncertainty, focusing on the definition of probability, notions of rationality, non-Bayesian decision models, and related issues.

He is the coauthor (with David Schmeidler) of A Theory of Case-Based Decisions and the author of Theory of Decision under Uncertainty. His most recent book, Rational Choice, was published in Aug. 2012.

BOOKS BY ITZHAK GILBOA

By Itzhak Gilboa on Paris Innovation Review

Students, as well as the public, often raise questions about the scientific nature of economics. Indeed, while economics uses very sophisticated mathematical models, their predictive success leaves much to be desired. Yet, economists feel that they learn a lot from these models. It is argued that part of economic theorizing does not follow the Popperian view of science; rather, some of the knowledge that is generated is analogical. According to this view, research in economics attempts to serve rhetorical purposes. As such, analogies can be useful, alongside general rules. Moreover, the role of axiomatic decision theory is understood as serving to clarify arguments in the context of public debates.
On s'interroge souvent sur le caractère scientifique de l’économie. Alors que cette discipline utilise des modèles mathématiques très sophistiqués, leur capacité prédictive laisse beaucoup à désirer. Les économistes, pour autant, tiennent à leurs modèles. Mais à quoi servent-ils, précisément ? La réponse à cette question met en évidence l'importance du raisonnement analogique, et par extension de la rhétorique, dans une discipline qui a au fil du temps développé son propre style scientifique.

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