KAPPALATE: Stata module to estimate the local average treatment effect (LATE) using Abadie's kappa approach and other weighting estimators

Selver Uysal, Tymon Słoczyński and Jeffrey Wooldridge

Statistical Software Components from Boston College Department of Economics

Abstract: kappalate estimates the local average treatment effect (LATE) using methods based on inverse probability weighting, including (but not limited to) Abadie's (2003) kappa approach. The estimators implemented by kappalate are described in a paper by Słoczyński, Uysal, and Wooldridge (2023) cited in the help file. The program computes analytic standard errors for each estimator. kappalate supports estimating the instrument propensity score using maximum likelihood or the covariate balancing approach of Imai and Ratkovic (2014).

Language: Stata
Requires: Stata version 17
Keywords: covariate balancing; instrumental variables; inverse probability weighting; local average treatment effect (LATE); propensity score (search for similar items in EconPapers)
Date: 2023-10-25, Revised 2024-06-30
Note: This module should be installed from within Stata by typing "ssc install kappalate". 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/k/kappalate.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/k/kappalate.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sipp.dta supplementary data file (application/x-stata)

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