Estimating a Cardinal Attribute from Ordered Categorical Responses Subject to Noise

TitleEstimating a Cardinal Attribute from Ordered Categorical Responses Subject to Noise
Publication TypeReport
Year of Publication1996
AuthorsKimball, MS, Shapiro, MD
KeywordsMethodology, Risk Taking
Abstract

Estimating a Cardinal Attribute from Ordered Categorical Responses Subject to Noise This paper presents an estimate of the distribution of relative risk tolerance---a preference parameter quantifying individuals' behavior toward risk. The estimate is based on a new survey question about gambles over lifetime income. The preference parameter is treated as a latent variable subject to error; responses to the survey are modeled as depending on whether this latent variable falls within certain bounds. In contrast to the standard discrete choice model, the latent variable and the bounds have a cardinal interpretation. Moreover, for a subset of survey respondents, the survey questions are answered twice. This structure allows identification of the mean and variance of the preference parameter and the variance of the noise.

URLhttps://www.researchgate.net/publication/2675727_Estimating_a_Cardinal_Attribute_from_Ordered_Categorical_Responses_Subject_to_Noise
Endnote Keywords

Methodology/Latent variables/Cardinal probit/Risk aversion and risk tolerance/Preference parameters/Survey methods

Endnote ID

8102

Citation Key5328