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A Joint Estimation Method to Combine Dichotomous Choice CVM Models with Count Data TCM Models Corrected for Truncation and Endogenous Stratification AgEcon
Gonzalez, Juan Marcos; Loomis, John B.; Gonzalez-Caban, Armando.
We update the joint estimation of revealed and stated preference data of previously published research to allow for joint estimation of the Travel Cost Method (TCM) portion using count data models. The TCM estimation also corrects for truncation and endogenous stratification as well as overdispersion. The joint estimation allows for testing consistency of behavior between revealed and stated preference data rather than imposing it. We find little gain in estimation efficiency, but our joint estimation might make a significant improvement in estimation efficiency when the contingent valuation scenarios involve major changes in site quality not reflected in the TCM data.
Tipo: Journal Article Palavras-chave: Contingent valuation models; Joint estimation; Nonmarket valuation; Recreation; Travel cost models; Agribusiness; Demand and Price Analysis; Productivity Analysis; Q51.
Ano: 2008 URL: http://purl.umn.edu/47207
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Testing Welfare Measurement Gains of Combining Stated and Revealed Preferences Methods Using Count Data Models AgEcon
Gonzalez, Juan Marcos; Loomis, John B.; Gonzalez-Caban, Armando.
This research updates the joint estimation of revealed and stated preference data of Cameron (1992) to allow for joint estimation of the Travel Cost Method (TCM) portion using count data models. Further these count data models reflect correction for truncation and endogenous stratification associated with commonly used on-site recreation sampling. Our updated modeling framework also allows for testing of consistency of behavior between revealed and stated preference data rather than imposing it. Our empirical example is river recreation visitors to the Caribbean National Forest in Puerto Rico. For this data set we find consistency between revealed preference and stated preference data. We also find little gain in estimation efficiency in our data. This may...
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/21203
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