WHO REALLY WANTS TO BE A MILLIONAIRE? ESTIMATES OF RISK AVERSION FROM GAMESHOW DATA

Roger Hartley, Gauthier Lanot, Ian Walker

Journal of Applied Econometrics · 2013 · 51 citations · 25 references

DOIFull text

Open access

Concepts

Abstract

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.

References

25