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StataCorp will be a sponsor and exhibitor at the CSP 2024 Annual Conference. Attending from StataCorp: Chuck Huber, Director, Statistical Outreach. We're also hosting a Practical Computing Demo. For more information about the meeting, visit the CSP 2024 Annual Conference page.
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| Title: | Introduction to difference in differences in Stata |
| Presenter: | Chuck Huber, Director, Statistical Outreach |
| Date: | Thursday, 29 February 2024 |
| Time: | 2:00–4:00 p.m. CT |
| Description: | This talk will briefly introduce the concepts and jargon of difference-in-differences (DID) models and show how to fit the models using Stata's suite of DID commands. We will demonstrate how to fit models for repeated cross-sectional data using didregress and for panel/longitudinal data using xtdidregress. We will also fit heterogeneous DID models where the average treatment effect varies over time or cohort using hdidregress and xthdidregress. We will discuss the model assumptions and how to check these assumptions after fitting a model. We can check the parallel-trends assumption using estat trendplots and estat ptrends, and we can check for anticipation of treatment using estat granger. After fitting heterogeneous DID models, we will also demonstrate how to aggregate the average treatment effect among the treated (ATET) using estat aggregation and how to visualize the trends in ATETs using estat atetplot. |
| Fee: | Free |
Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global Public Health. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects. Dr. Huber currently teaches survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.
