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	Provedor de dados AgEcon (3) Autor Anderson, Soren T. (1) Hagerman, Amy D. (1) McCarl, Bruce A. (1) Newell, Richard G. (1) Riddel, Mary C. (1) Zhang, Yuquan W. (1) Mais... Palavra-chave Binary choice (3) Research Methods/ Statistical Methods (2) Angus (1) Brahman (1) Brangus (1) C25 (1) C250 (1) C51 (1) C81 (1) Data normalization (1) Discrete choice (1) Livestock Production/Industries (1) Logit (1) Marginal effect (1) Multivariate probit model (1) Nonstationay processes (1) Probit (1) Probit models (1) Production Economics (1) Mais... Tipo do documento Conference Paper or Presentation (2) Working or Discussion Paper (1) Ano 2011 (1) 2003 (1) 2000 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Simplified Marginal Effects in Discrete Choice Models AgEcon Anderson, Soren T.; Newell, Richard G.. We show that after a simple normalization of explanatory variables so that they equal zero at some desired reference point, marginal effects for continuous variables in probit and logit models simplify dramatically, becoming a function of only the estimated constant term. We present similar simplifications for computation of the asymptotic variance of marginal effects, as well as for the effects of dummy variables on predicted probabilities. We provide a simple table, which in combination with raw probit or logit estimates, is all one needs to compute the desired effects. Tipo: Working or Discussion Paper Palavras-chave: Logit; Probit; Discrete choice; Binary choice; Marginal effect; Data normalization; Research Methods/ Statistical Methods; C25; C51; C81. Ano: 2003 URL: http://purl.umn.edu/10631 How Climate Factors Influenced the Spatial Allocation of and Returns to Texas Cattle Breeds AgEcon Zhang, Yuquan W.; Hagerman, Amy D.; McCarl, Bruce A.. A multivariate binary choice model is used to examine the climate effects on cattle breed selection across Texas counties. Angus, Brangus, and Brahman are considered in the model. Results suggest that it is more efficient to estimate the binary choice equations jointly than separately. Counties having higher summer temperatures are more likely to choose Brahman and warmer winters increase the likelihood of adopting Brangus and Brahman. Angus price imposes positive effects on both Angus and Brangus. In general, the marginal probability of selecting Angus is much higher than that of Brangus or Brahman. Tipo: Conference Paper or Presentation Palavras-chave: Multivariate probit model; Binary choice; Angus; Brangus; Brahman; Livestock Production/Industries; Production Economics. Ano: 2011 URL: http://purl.umn.edu/103826 FINITE SAMPLE PROPERTIES OF NONSTATIONARY BINARY RESPONSE MODELS: A MONTE CARLO AND RESPONSE SURFACE ANALYSIS AgEcon Riddel, Mary C.. This paper investigates the finite sample distributions of maximum likelihood estimators for nonstationary probit models. We find that, analogous to standard OLS models, commonly used tests statistics almost always reject the null hypothesis of no relationship between xt and a latent yt, even when they are, in fact, generated by independent random walks. However, if cointegrating relationships are present in the model, parameter distributions are better behaved and standard z and Wald test statistics are consistent. Tipo: Conference Paper or Presentation Palavras-chave: Binary choice; Probit models; Nonstationay processes; Research Methods/ Statistical Methods; C250. Ano: 2000 URL: http://purl.umn.edu/21821 Registros recuperados: 3 Primeira ... 1 ... Última

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