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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