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Who Really Wants To Be A Millionaire? Estimates Of Risk Aversion From Gameshow Data

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  • Roger Hartley
  • Gauthier Lanot
  • Ian Walker

Abstract

SUMMARY This paper estimates the degree of risk aversion from one of the most popular TV gameshows ever. The format of the show is straightforward; it involves no strategic decision making; we have a large number of observations; and the prizes are cash, which is paid immediately and covers a large range: from £100 up to £1 million. We provide non‐parametric estimates of the utility function and then we test some parametric restrictions. We find that, although the restriction to CRRA utility is statistically rejected, a log function approximates the utility function quite well over a large range of potential winnings. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Roger Hartley & Gauthier Lanot & Ian Walker, 2014. "Who Really Wants To Be A Millionaire? Estimates Of Risk Aversion From Gameshow Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 861-879, September.
    • Handle: RePEc:wly:japmet:v:29:y:2014:i:6:p:861-879
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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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