DIDINTJL: Stata module to estimate the average treatment effect on the treated (ATT) while accounting for covariates that may vary by state, time, or both

Eric Jamieson ()
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Eric Jamieson: NA

Statistical Software Components from Boston College Department of Economics

Abstract: didintjl is a Stata command that serves as a wrapper for the didint() function from the DiDInt.jl Julia package. It requires you to specify the names of the outcome, state, and time variables as well as either a gvar variable, or, to specifically list the treated states and their treatment times.

Language: Stata
Requires: Stata version 16, julia from SSC (q.v.), Julia language, package DiDInt
Keywords: difference in differences; DiD; ATE; average treatment effect (search for similar items in EconPapers)
Date: 2026-06-09
Note: This module should be installed from within Stata by typing "ssc install didintjl". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/d/didintjl.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/didintjl.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/d/didintjl_plot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/didintjl_plot.sthlp help file (text/plain)

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