Ido Erev

Ido Erev holds a PhD from the University of North Carolina, 1990 in Cognitive/Quantitative Psychology.

Erev is a full professor at the Technion's Faculty of Data and Decision Sciences.

Academic contribution

Erev is widely regarded for his contributions to learning in behavioral economics and experimental economics.[1]

His work with Nobel Laureate Alvin Roth has started a branch of behavioral economics focused on human learning in games and individual choice tasks.[2]

He is also widely regarded for his distinction between decision from experience and decisions from description [3]

Another line of research involves practical implications.[4] and law enforcement.[5]

References
  1. Erev, I. and E. Haruvy (2016). Learning and the economics of small decisions. In Kagel, J.H. and Roth, A.E. (Eds.), The Handbook of Experimental Economics. Princeton University Press
  2. Erev, I., & Roth, A. E. (1998). Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria. American economic review, 848-881.
  3. Erev, I., Ert, E., Roth, A. E., Haruvy, E., Herzog, S. M., Hau, R., ... & Lebiere, C. (2010). A choice prediction competition: Choices from experience and from description. Journal of Behavioral Decision Making, 23(1), 15-47.
  4. Zion, U. B., Erev, I., Haruvy, E., & Shavit, T. (2010). Adaptive behavior leads to under-diversification. Journal of Economic Psychology, 31(6), 985-995.
  5. Perry, O., Erev, I., & Haruvy, E. (2002). Frequent probabilistic punishment in law enforcement. Economics of Governance, 3(1), 71-86.
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