DISTILL: Stata module to assess heterogeneous treatment effects in randomized controlled trials

Ariel Linden and John L. Adams
Additional contact information
John L. Adams: Kaiser Permanente

Statistical Software Components from Boston College Department of Economics

Abstract: distill implements the "Distillation Method" (Adams et al. 2022) to estimate treatment effects within a desired number of strata (quantiles) of the propensity score to determine whether a randomized controlled trial (RCT) may have produced heterogeneous treatment effects. Adams et al. (2022) found treatment effects in the higher strata, corresponding to subjects who were more likely to participate/engage in the intervention.

Language: Stata
Requires: Stata version 13
Keywords: randomized controlled trials; heterogeneous treatment effects; distillation (search for similar items in EconPapers)
Date: 2023-11-17
Note: This module should be installed from within Stata by typing "ssc install distill". 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/d/distill.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/distill.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/distill_example.dta supplementary data file (application/x-stata)

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