MTEBINARY: Stata module to compute Marginal Treatment Effects (MTE) With a Binary Instrument

Amanda Kowalski, Yen Tran () and Ljubica Ristovska
Additional contact information
Yen Tran: Yale University

Statistical Software Components from Boston College Department of Economics

Abstract: mtebinary estimates the marginal treatment effect (MTE) function using a binary instrument and a binary endogenous variable. The MTE is defined as the difference between the potential treated outcome and the potential untreated outcome for an individual for whom the net benefit of treatment equals the cost of treatment, i.e., an individual marginal to selecting into treatment (see Kowalski (NBER 24647, 2018) for details).

Language: Stata
Requires: Stata version 14
Keywords: marginal treatment effect; binary endogenous regressor; instrumental variables (search for similar items in EconPapers)
Date: 2016-12-27, Revised 2018-07-19
Note: This module should be installed from within Stata by typing "ssc install mtebinary". 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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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mtebinary.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mtebinary.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mtebinary_data.dta sample data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/m/mte1.eps.pdf documentation (application/pdf)
http://fmwww.bc.edu/repec/bocode/m/mte1File-URL:ht ... bocode/_/cov.eps.pdf documentation (application/pdf)
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http://fmwww.bc.edu/repec/bocode/m/mte1File-URL:ht ... e/_/cov_quad.eps.pdf documentation (application/pdf)
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