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	Provedor de dados AgEcon (154) Autor Alberini, Anna (6) Tisdell, Clement A. (6) Lupi, Frank (5) Swinton, Scott M. (5) Cullen, Ross (4) Ma, Shan (4) Nunes, Paulo A.L.D. (4) Rigby, Dan (4) Tait, Peter R. (4) Van Huylenbroeck, Guido (4) Bergstrom, John C. (3) Burton, Michael P. (3) Buysse, Jeroen (3) Cavatassi, Romina (3) Ding, Helen (3) Erdem, Seda (3) Loomis, John B. (3) Scasny, Milan (3) Tonin, Stefania (3) Bennett, Jeffrey W. (2) Mais... Palavra-chave Q51 (154) Environmental Economics and Policy (77) Q57 (40) Resource /Energy Economics and Policy (31) Agricultural and Food Policy (21) Q53 (18) Q18 (16) Q56 (16) Research Methods/ Statistical Methods (16) Land Economics/Use (15) Q54 (15) Q58 (15) Q25 (14) Q26 (14) Contingent valuation (13) Q15 (13) Q12 (11) Demand and Price Analysis (10) Q24 (10) Q52 (10) Mais... Tipo do documento Conference Paper or Presentation (69) Working or Discussion Paper (38) Journal Article (26) Presentation (8) Thesis or Dissertation (5) Working Paper (4) Report (3) Article (1) Mais... Ano 2012 (9) 2011 (26) 2010 (32) 2009 (24) 2008 (15) 2007 (14) 2006 (15) 2005 (11) 2004 (8) Mais... País United States (154) Idioma Inglês (143) Espanhol (8) Italiano (2) Alemão (1)		Registro completo Provedor de dados:  AgEcon País:  United States Título:  A Joint Estimation Method to Combine Dichotomous Choice CVM Models with Count Data TCM Models Corrected for Truncation and Endogenous Stratification Autores:  Gonzalez, Juan Marcos Loomis, John B. Gonzalez-Caban, Armando Data:  2009-02-03 Ano:  2008 Palavras-chave:  Contingent valuation models Joint estimation Nonmarket valuation Recreation Travel cost models Agribusiness Demand and Price Analysis Productivity Analysis Q51 Resumo:  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 Idioma:  Inglês Identificador:  http://purl.umn.edu/47207 Relação:  Journal of Agricultural and Applied Economics>Volume 40, Number 02, August 2008 Formato:  15 Fechar

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