Assessing Individual Risk-Attitudes Using Field Data from Lottery Games
by
Connel Fullenkamp
Duke University,
Rafael Tenorio
DePaul University,
and
Robert Battalio
University of Notre Dame
Abstract
We use information from the television game show with the highest guaranteed
average payoff in the U.S., Hoosier Millionaire, to analyze risk-taking
in a high-stakes experiment. We first characterize gambling behavior under
alternative assumptions about contestant rationality and preferences, and
derive testable restrictions on individual risk-attitudes based on these
assumptions. We then use an extensive sample of decisions in these games
to estimate distributions of risk-aversion parameters that are consistent
with the theoretical restrictions and revealed preferences. We find that
although most contestants display risk averse preferences, the extent of
the risk aversion varies substantially with the stakes involved in the
different decisions.
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