Generalized Estimation Methods for Non-i.i.d. Binary Data: An Application to Dichotomous Choice Contingent Valuation

We challenge the assumption of i.i.d random utility across alternatives embedded in typical applications of logit models to dichotomous choice contingent valuation data. Using a Gumbel mixed distribution which nests a number of traditional models, we show that the logistic distribution is not a suitable distribution for contingent valuation analysis.


Issue Date:
2005
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/19138
Total Pages:
25
Series Statement:
Selected Paper 136726




 Record created 2017-04-01, last modified 2017-04-26

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