Oct 14, 2019 · Difference-in-Differences (DiD) is one of the most frequently used methods in impact evaluation studies. Based on a combination of before-after and treatment-control group …

Oct 31, 2022 · Let’s walk through an example of difference-in-differences with data from probably its first, and almost certainly its most famous, application: John Snow’s 1855 findings that …

Oct 14, 2019 · To assess the influence of VLFRs in promoting positive forest cover change, we used a rigorous statistical method, the difference in difference (DiD) regression model …

Difference-in-differences (DiD) is a powerful, quasi-experimental research design widely used in longitudinal policy evaluations with health outcomes. However, DiD designs face several …

Sep 7, 2023 · This manuscript is intended to provide a worked example of the estimation of the average causal effect of treatment among the treated using the difference-in-differences …

From the National Bureau of Economic Research and written by Timothy Conley, Christopher Taber, this paper provides a new method for inference in Difference-in-Difference models …

DID is a quasi-experimental design that makes use of longitudinal data from treatment and control groups to obtain an appropriate counterfactual to estimate a causal effect.

Dr. Juan Villa wrote the Stata -diff- module. Users can install this module by typing “ssc install diff” in the Stata command window. This module allows researchers to reduce the selection bias …

The canonical difference-in-differences (DD) model contains two time periods, “pre” and “post”, and two groups, “treatment” and “control”. Most DD applications, however, exploit variation …

In this paper, we explain the fundamental D-I-D study design and illustrate a basic analysis using SAS® , specifically the GLM and MIXED procedures that allow accounting for repeated …