Boolean logit and probit in Stata

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.


Issue Date:
2004
Publication Type:
Journal Article
DOI and Other Identifiers:
st0078 (Other)
PURL Identifier:
http://purl.umn.edu/116271
Published in:
Stata Journal, Volume 04, Number 4
Page range:
436-441
Total Pages:
6

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 Record created 2017-04-01, last modified 2018-01-22

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