Data/hora: 04/06/2024 01:09:08

Provedor de dados: | 31
País: | United States
Título: | Boolean logit and probit in Stata
Autores: | Braumoeller,   Bear F.
Data: | 2011-10-05
Ano: | 2004
Palavras-chave: | Mlboolean; Dichotomous dependent variable; Boolean; Logit; Probit; Multiple causal paths; Complexity; Random utility; Research Methods/ Statistical Methods.
Resumo: | This paper introduces new statistical models, Boolean logit and probit, that allow researchers to model binary outcomes as the results of Boolean interactions among independent causal processes. Each process (or “causal path”) is modeled as the unobserved outcome in a standard logit or probit equation, and the dependent variable is modeled as the observed product of their Boolean interaction. Up to five causal paths can be modeled, in any combination—A and B and C produce Y, A and (B or [C and D]) produce Y, etc.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

st0078

http://purl.umn.edu/116271

Relação: | Stata Journal&gt;Volume 4, Number 4, 4th Quarter 2004
Formato: | 6