MTEMORE: 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: mtemore is the old version of the command mtebinary. mtemore was designed to produce results from Kowalski (NBER 22363, 2016), and mtebinary was designed to produce results from Kowalski (NBER 24647, 2018). mtemore 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.

Language: Stata
Requires: Stata version 13
Keywords: marginal treatment effect; binary endogenous regressor; instrumental variables (search for similar items in EconPapers)
Date: 2018-07-19
Note: This module should be installed from within Stata by typing "ssc install mtemore". 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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/mtemore.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mtemore.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/m/mtemore_data.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458503

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().