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	Provedor de dados AgEcon (1) Autor Heckelei, Thomas (1) Storm, Hugo (1) Palavra-chave Agricultural and Food Policy (1) Bayesian estimation (1) Markov transitions (1) Multinomial logit (1) Ordered multinomial logit (1) Prior information (1) Research Methods/ Statistical Methods (1) Mais... Tipo do documento Conference Paper or Presentation (1) Ano 2011 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Bayesian estimation of non-stationary Markov models combining micro and macro data AgEcon Storm, Hugo; Heckelei, Thomas. In this poster a Bayesian estimation framework for a non-stationary Markov model is developed for situations where sample data with observed transition between classes (micro data) and aggregate population shares (macro data) are available. Posterior distributions on transition probabilities are derived based on a micro based prior and a macro based Likelihood function thereby consistently combining previously separated approaches. Monte Carlo simulations for ordered and unordered Markov states show how observed micro transitions improve precision of posterior knowledge as the sample size increases. Tipo: Conference Paper or Presentation Palavras-chave: Bayesian estimation; Markov transitions; Prior information; Multinomial logit; Ordered multinomial logit; Agricultural and Food Policy; Research Methods/ Statistical Methods. Ano: 2011 URL: http://purl.umn.edu/103645 Registros recuperados: 1 Primeira ... 1 ... Última

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