From Aggregate Betting Data to Individual Risk Preferences
- From Aggregate Betting Data to Individual Risk Preferences
- Chiappori, Pierre A.
- Persistent URL:
- Department of Economics Discussion Papers
- Part Number:
- Department of Economics, Columbia University
- Publisher Location:
- New York
- As a textbook model of contingent markets, horse races are an attractive environment to study the attitudes towards risk of bettors. We innovate on the literature by explicitly considering heterogeneous bettors and allowing for very general risk preferences, including non-expected utility. We build on a standard single-crossing condition on preferences to derive testable implications; and we show how parimutuel data allow us to uniquely identify the distribution of preferences among the population of bettors. We then estimate the model on data from US races. Within the expected utility class, the most usual specfications (CARA and CRRA) fit the data very badly. Our results show evidence for both heterogeneity and nonlinear probability weighting.
- Item views
text | xml
- Suggested Citation:
- Pierre A. Chiappori, Bernard Salanie, Francois Salanie, Amit Gandhi, 2012, From Aggregate Betting Data to Individual Risk Preferences, Columbia University Academic Commons, https://doi.org/10.7916/D88G8TXD.