Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Semiparametric Estimation and Inference in Multinomial Choice Models AgEcon
Fahs, Rafic; Cardell, N. Scott; Mittelhammer, Ronald C..
The purpose of this paper is to incorporate semiparametric alternatives to maximum likelihood estimation and inference in the context of unordered multinomial response data when in practice there is often insufficient information to specify the parametric form of the function linking the observables to the unknown probabilities. We specify the function linking the observables to the unknown probabilities using a very general flexible class of functions belonging to the Pearson system of cumulative distribution equations. In this setting we consider the observations as arising from a multinomial distribution characterized by one of the CDFs in the Pearson system. Given this situation, it is possible to utilize the concept of unbiased estimating functions...
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2001 URL: http://purl.umn.edu/20742
Imagem não selecionada

Imprime registro no formato completo
Semiparametric Estimation and Inference in a System of Censored Demand Equations AgEcon
Fahs, Rafic; Cardell, N. Scott; Mittelhammer, Ronald C..
The purpose of this paper is to utilize the generalized method of moments (GMM) approach for estimating a system of multivariate Tobit equations and propose a practical consistent estimator of model parameters. The GMM approach is based on a common set of general marginal and bivariate moment relations that hold between explanatory variables and model noise.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2001 URL: http://purl.umn.edu/20482
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

Valid HTML 4.01 Transitional