We analyze the use of discrete choice models for the estimation of riskaversion and show a fundamental flaw in the standard random utility model whichis commonly used in the literature. Specifically, we find that given two gambles, theprobability of selecting the riskier gamble may be larger for larger levels of risk aversion.We characterize when this occurs. By contrast, we show that the alternativerandom preference approach is free of such problems.