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Provedor de dados:  AgEcon
País:  United States
Título:  Bayesian and Frequentist Approaches to Hedonic Modeling in a Geo-Statistical Framework
Autores:  Ghosh, Gaurav S.
Carriazo, Fernando
Data:  2007-06-27
Ano:  2007
Palavras-chave:  Research Methods/ Statistical Methods
Resumo:  We compare Least Squares, Maximum Likelihood and Bayesian approaches to estimation in a Hedonic context. The approaches are compared from theoretical and practical perspectives and from the viewpoint of a policy maker or urban planner. The approaches are applied to data on the property market in Bogota, Colombia. We find that no approach is unambiguously better than the others and recommend that choice of estimation technique should be predicated upon the characteristics of the policy problem at hand.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  26233
Editor:  AgEcon Search
Relação:  American Agricultural Economics Association>2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon
AAEA Selected Paper #174559
Formato:  38


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