Prospect Theory, Time Discounting, Bayesian Statistics, Adaptive Experimen-tal Design, Revealed Preference
We develop a methodology for the measurement of the parameters of cumulative prospect theory and time discounting models based on tools from the preference measurement litera-ture. These parameters are typically elicited by presenting decision makers with a series of choices between hypothetical alternatives, gambles or delayed payments. We present a method for adaptively designing the sets of hypothetical choices presented to decision mak-ers, and a method for estimating the preference function parameters which capture interde-pendence across decision makers as well as response error. We apply our questionnaire de-sign and estimation methods to a study of the characteristics of homeowners who owe more on their mortgage than the current value of the underlying real estate asset. Our estimates in-dicate that such homeowners have larger discount rates and present bias than others, but do not differ in their risk preferences.