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Doron Sonsino

Researcher at Ben-Gurion University of the Negev

Publications -  53
Citations -  1014

Doron Sonsino is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Lottery & Overconfidence effect. The author has an hindex of 16, co-authored 51 publications receiving 954 citations. Previous affiliations of Doron Sonsino include College of Management Academic Studies & University of Texas at Dallas.

Papers
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On the Interaction of Risk and Time Preferences: An Experimental Study

TL;DR: In this paper, the authors investigate the possible correlation between risk aversion and time preference and show that the negative correlation is independent of the method used to elicit certainty equivalents (willingness to pay versus willingness to accept).
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Social distance and reciprocity: An Internet experiment

TL;DR: This article explored the effects of social distance in experiments conducted over the Internet on three continents, in classroom laboratory sessions conducted in Israel and Spain, and in computer sessions pairing participants from different states, one in Texas and the other in California.
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The Neglect of Correlation in Allocation Decisions

TL;DR: In this article, the effect of variation in correlation on investment decision in an experimental two asset application was studied, and it was found that subjects neglect probabilistic information on the joint distribution of returns and base their allocations on the observed return levels for the two assets.
Book

Learning to learn, pattern recognition, and Nash equilibrium

TL;DR: In this paper, a large class of bounded-rationality, probabilistic learning models on strategic-form games is studied and the main assumption is that players recognize cyclic patterns in the observed history of play.
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A comparative study of lotteries-evaluation in class and on the Web

TL;DR: The authors reported the results of an experiment in which 135 students were asked to bid buying prices for five simple lotteries and found that bids on the Web are significantly higher than bids in class; the standard deviations of the bids are significantly high on the Internet.