Assessing individual risk attitudes using field data from lottery games
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2003-02-01
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We use information from the television game show with the highest guaranteed average payoff in the United States, Hoosier Millionaire, to analyze risktaking in a high-stakes experiment. We characterize gambling decisions under alternative assumptions about contestant behavior and preferences, and derive testable restrictions on individual risk attitudes based on this characterization. We then use an extensive sample of gambling decisions to estimate distributions of risk-aversion parameters consistent with the theoretical restrictions and revealed preferences. We find that although most contestants display risk-averse preferences, the extent of the risk aversion implied by our estimates varies substantially with the stakes involved in the different decisions.
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Connel Fullenkamp
Professor Fullenkamp specializes in the investigation of financial market development and regulation of financial markets. His projects often involve the exploration of such variables as immigrant worker remittances, economic policy, and the development of countries. His completed papers have appeared in various leading academic journals, including The Cato Journal, the Journal of Banking and Finance, the Review of Economic Dynamics, and the Review of Economics and Statistics. Titles of his publications include, “Capital Trading, Stock Trading, and the Inflation Tax on Equity” with Scott Baier, Charles Carlstrom, Ralph Chami, Thomas Cosimano, and Timothy Fuerst; “Assessing Individual Risk-Attitudes Using Field Data from Lottery Games” with Rafael Tenorio and Robert Battalio; “Are Immigrant Remittance Flows a Source for Capital Development” with Ralph Chami and Samir Jahjah; and more. Professor Fullenkamp is currently focusing his studies on the impact of immigrant remittances on economic growth and the framework for financial market development.
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