Exploring marginal treatment effects: Flexible estimation using Stata
Martin Andresen
Stata Journal, 2018, vol. 18, issue 1, 118-158
Abstract:
In settings that exhibit selection on both levels and gains, marginal treatment effects (MTE) allow us to go beyond local average treatment effects and estimate the whole distribution of effects. In this article, I survey the theory behind MTE and introduce the package mtefe, which uses several estimation methods to fit MTE models. This package provides important improvements and flexibility over existing packages such as margte (Brave and Walstrum, 2014, Stata Journal 14: 191–217) and calculates various treatment-effect parameters based on the results. I illustrate the use of the package with examples.
Keywords: mtefe; margte; heterogeneity; marginal treatment effects; instrumental variables (search for similar items in EconPapers)
Date: 2018
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj18-1/st0516/
References: Add references at CitEc
Citations: View citations in EconPapers (37)
Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0516 link to article purchase
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:tsj:stataj:v:18:y:2018:i:1:p:118-158
Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html
Access Statistics for this article
Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins
More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().