TREATOPROBIT: Stata module to estimate a treatment effects model for a binary endogenous treatment on an ordered outcome

Christian Gregory

Statistical Software Components from Boston College Department of Economics

Abstract: treatoprobit estimates a treatment effects model for a binary endogenous treatment on an ordered outcome. The model assumes joint normality of errors for treatment and outcome. Postestimation options include predicting joint probability of treatment and each outcome, non-participation in treatment and outcome, treatment effects for each outcome, and treatment effects on the treated for each outcome.

Language: Stata
Requires: Stata version 10
Keywords: treatment; ordered probit; endogenous treatment (search for similar items in EconPapers)
Date: 2014-03-29, Revised 2016-07-20
Note: This module should be installed from within Stata by typing "ssc install treatoprobit". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/t/treatoprobit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/treatoprobit.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/t/treatoprobit_p.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/treatoprobit_work.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/treatoprobit_postestimation.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457813

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