DIFF_PLOT: Stata module to visualize classic difference-in-differences model

Kabira Namit

Statistical Software Components from Boston College Department of Economics

Abstract: diff_plot is designed to create a customized visual representation of the canonical difference-in-differences (DiD) estimation, which is commonly used in causal inference. This program is tailored for the simplest 2x2 case, where we have one treatment group, one control group, one period prior to intervention, and one period post-intervention. It generates a line graph that illustrates the changes in an outcome variable over the two time periods for both the treatment and control groups. Crucially, the graph also includes an optional parallel trend line, which simulates the counterfactual trend for the treatment group in the absence of any treatment, based on the parallel trend assumption. This tool is particularly useful for organizations such as NGOs and research institutions that have baseline and midline/endline data and want to visualize changes in both the treatment and control groups as part of their project evaluations.

Language: Stata
Requires: Stata version 11.2 and elabel from SSC (q.v.)
Keywords: DiD; graphics; 2x2 (search for similar items in EconPapers)
Date: 2024-07-05
Note: This module should be installed from within Stata by typing "ssc install diff_plot". 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/d/diff_plot.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/d/diff_plot.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459347

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