twopm: Two-part models
Federico Belotti
Centre for Economic and International Studies
University of Rome Tor Vergata
Rome, Italy
[email protected]
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Partha Deb
Hunter College and Graduate Center, CUNY
New York, NY
and National Bureau of Economic Research
Cambridge, MA
[email protected]
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Willard G. Manning
University of Chicago
Chicago, IL
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Edward C. Norton
University of Michigan
Ann Arbor, MI
and National Bureau of Economic Research
Cambridge, MA
[email protected]
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Abstract. In this article, we describe twopm, a command for fitting two-part
models for mixed discrete-continuous outcomes. In the two-part model, a binary
choice model is fit for the probability of observing a positive-versus-zero
outcome. Then, conditional on a positive outcome, an appropriate regression
model is fit for the positive outcome. The twopm command allows the user
to leverage the capabilities of predict and margins to calculate
predictions and marginal effects and their standard errors from the combined
first- and second-part models.
View all articles by these authors:
Federico Belotti, Partha Deb, Willard G. Manning, Edward C. Norton
View all articles with these keywords:
twopm, two-part models, cross-sectional data, predictions, marginal effects
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