Estimating individual valuation distributions with multiple bounded discrete choice data

Hua Wang and Jie He

Applied Economics, 2011, vol. 43, issue 21, 2641-2656

Abstract: This article presents a new modelling strategy that estimates individual valuation distributions with Multiple Bounded Discrete Choice (MBDC) data. An individual's valuation of a commodity or service is assumed to have a distribution rather than being a single number. Likelihood responses to the MBDC questions are numerically coded and treated with a new panel technique. The proposed estimation strategy is empirically compared with previous data analysis methods.

Date: 2011
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DOI: 10.1080/00036840903299789

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