Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (2) Autor Domanski, Adam (1) Sarker, Rakhal (1) Surry, Yves R. (1) Palavra-chave Recreational demand (2) Borel (1) Conditional logit (1) Count data models (1) Discrete choice (1) Environmental Economics and Policy (1) Fast decay process (1) Fishing (1) Logarithmic and generalised Poisson regression models (1) Microeconometrics (1) Mixed logit (1) Research Methods/ Statistical Methods (1) Resource /Energy Economics and Policy (1) Sampling of alternatives (1) Wisconsin (1) Yule (1) Mais... Tipo do documento Conference Paper or Presentation (2) Ano 2009 (1) 2002 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última The Fast Decay Process in Recreational Demand Activities and the use of Alternative Count Data Models AgEcon Sarker, Rakhal; Surry, Yves R.. Since the early 1990s, researchers have routinely used count data models (such as the Poisson and negative binomial) to estimate the demand for recreational activities. Along with the success and popularity of count data models in recreational demand analysis during the last decade, a number of shortcomings of standard count data models became obvious to researchers. This had led to the development of new and more sophisticated model specifications. Furthermore, semi-parametric and non-parametric approaches have also made their way into count data models. Despite these advances, however, one interesting issue has received little research attention in this area. This is related to the fast decay process of the dependent variable and the associated long... Tipo: Conference Paper or Presentation Palavras-chave: Fast decay process; Recreational demand; Count data models; Borel; Yule; Logarithmic and generalised Poisson regression models; Resource /Energy Economics and Policy. Ano: 2002 URL: http://purl.umn.edu/24808 Estimating Mixed Logit Recreation Demand Models With Large Choice Sets AgEcon Domanski, Adam. Discrete choice models are widely used in studies of recreation demand. They have proven valuable when modeling situations where decision makers face large choice sets and site substitution is important. However, when the choice set faced by the individual becomes very large (on the order of hundreds or thousands of alternatives), computational limitations make estimation with the full choice set intractable. Sampling of alternatives in a conditional logit framework is an effective method to limit computational burdens while still producing consistent estimates. This method is allowed by the existence of the independence of irrelevant alternatives (IIA) assumption. More advanced mixed logit models account for unobserved preference heterogeneity and... Tipo: Conference Paper or Presentation Palavras-chave: Sampling of alternatives; Discrete choice; Mixed logit; Conditional logit; Recreational demand; Wisconsin; Fishing; Microeconometrics; Environmental Economics and Policy; Research Methods/ Statistical Methods. Ano: 2009 URL: http://purl.umn.edu/49413 Registros recuperados: 2 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco