Boolean logit and probit in Stata

Bear F. Braumoeller
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Bear F. Braumoeller: Harvard University

Stata Journal, 2004, vol. 4, issue 4, pages 436-441

Abstract: 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. Copyright 2004 by StataCorp LP.

Keywords: mlboolean; dichotomous dependent variable; Boolean; logit; probit; multiple causal paths; complexity; random utility (search for similar items in EconPapers)
Date: 2004
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