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Provedor de dados:  AgEcon
País:  United States
Título:  Detecting Starting Point Bias in Dichotomous-Choice Contingent Valuation Surveys
Autores:  Alberini, Anna
Veronesi, Marcella
Cooper, Joseph C.
Data:  2005-12-01
Ano:  2005
Palavras-chave:  Research Methods/ Statistical Methods
Resumo:  We examine starting point bias in CV surveys with dichotomous choice payment questions and follow-ups, and double-bounded models of the WTP responses. We wish to investigate (1) the seriousness of the biases for the location and scale parameters of WTP in the presence of starting point bias; (2) whether or not these biases depend on the distribution of WTP and on the bids used; and (3) how well a commonly used diagnostic for starting point bias—a test of the null that bid set dummies entered in the right-hand side of the WTP model are jointly equal to zero—performs under various circumstances. Because starting point bias cannot be separately identified in any reliable manner from biases caused by model specification, we use simulation approaches to address this issue. Our Monte Carlo simulations suggest that the effect of ignoring starting point bias is complex and depends on the true distribution of WTP. Bid set dummies tend to soak up misspecifications in the distribution assumed by the researcher for the latent WTP, rather than capturing the presence of starting point bias. Their power in detecting starting point bias is low.
Tipo:  Working or Discussion Paper
Idioma:  Inglês
Identificador:  19342

http://purl.umn.edu/12230
Editor:  AgEcon Search
Relação:  Fondazione Eni Enrico Mattei (FEEM)>Sustainability Indicators and Environmental Valuation Working Papers
SIEV Nota di Lavoro 119.2005
Formato:  40

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