Data/hora: 09/06/2024 18:07:59

Provedor de dados: 	31	
País: 	United States	
Título: 	Computing interaction effects and standard errors in logit and probit models	
Autores: 	Norton,   Edward C.; Wang,   Hua; Ai,   Chunrong.	
Data: 	2011-10-05	
Ano: 	2004	
Palavras-chave: 	Inteff; Interaction terms; Logit; Probit; Nonlinear models; Research Methods/ Statistical Methods.	
Resumo: 	This paper explains why computing the marginal effect of a change in two variables is more complicated in nonlinear models than in linear models. The command inteff computes the correct marginal effect of a change in two interacted variables for a logit or probit model, as well as the correct standard errors. The inteff command graphs the interaction effect and saves the results to allow further investigation.	
Tipo: 	Journal Article	
Idioma: 	Inglês	
Identificador: 	st0063

http://purl.umn.edu/116235	
Relação: 	Stata Journal&gt;Volume 4, Number 2, 2nd Quarter 2004	
Formato: 	14