ESTRAT: Stata module to perform Endogenous Stratification for Randomized Experiments

Jeremy Ferwerda (ferwerda@mit.edu)
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Jeremy Ferwerda: MIT

Statistical Software Components from Boston College Department of Economics

Abstract: Estrat uses leave-one-out (LOO) and repeated split sample (RSS) estimators to obtain estimates of treatment effects for subgroups in randomized experiments. For further details see Abadie, Chingos, and West (NBER WP, 2013).

Language: Stata
Requires: Stata version 11
Keywords: treatment effects; randomized experiments; stratification (search for similar items in EconPapers)
Date: 2014-03-15
Note: This module should be installed from within Stata by typing "ssc install estrat". 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/e/estrat.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/estrat.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/j/jtpa.dta sample data file (application/x-stata)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457801

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