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Cited by 598

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Twopm: Two-Part Models

Open access
Belotti, Federico, Deb, Partha, Manning, Willard G., Norton, Edward C.·2015·The Stata Journal: Promoting communications on statistics and Stata

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.

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Metadata

Authors
Belotti, F., Deb, P., Manning, W. G., & Norton, E. C.
Venue
The Stata Journal: Promoting communications on statistics and Stata
Published
2015-04
Volume
15
Issue
1
Pages
3-20
ISSN
  • 1536-867X (ISSN-L)
  • 1536-8734
OpenAlex
W263154455
Cited by
598
References
21
FWCI
34.16
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Twopm: Two-Part Models. https://app.cochat.ai/papers/10.1177/1536867x1501500102
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Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015). Twopm: Two-Part Models. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x1501500102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.