Longitudinal Data Analysis Using Stata - Online Course
A 3-Day Livestream Seminar Taught by
Stephen VaiseyWednesday, March 18 –
Friday, March 20, 2026
10:00am-12:30pm (convert to your local time)
1:30pm-3:30pm
The most common type of longitudinal data is panel data or repeated measures data, consisting of measurements of predictor and response variables at two or more points in time for many individuals (or other units). Panel data enable two major advances over cross-sectional data:
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- the ability to model the evolution of outcomes over time; and
- the ability to “control” for unobserved unit-specific heterogeneity, enabling better causal inferences.
Different data structures allow researchers to use panel data in different ways. In this course, we will focus on the following approaches:
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- Mixed models (including random growth curves)
- Two period difference-in-differences
- Fixed-effects models (one-way and two-way)
- Between-within models
- Dynamic panel models
In addition to considering these approaches and their implementation in Stata, we will discuss when each is (not) suitable given data constraints. We will also consider how to adapt these approaches to deal with limited dependent variables (especially binary outcomes).
Starting March 18, this seminar will be presented as a 3-day synchronous, livestream workshop via Zoom. Each day will feature two lecture sessions with hands-on exercises, separated by a 1-hour break. Live attendance is recommended for the best experience. But if you can’t join in real time, recordings will be available within 24 hours and can be accessed for four weeks after the seminar.
Closed captioning is available for all live and recorded sessions. Captions can be translated to a variety of languages including Spanish, Korean, and Italian. For more information, click here.
ECTS Equivalent Points: 1
Computing
The vast majority of what you will learn in this course can be applied in any software package. This seminar will use the most recent version of Stata for empirical examples and exercises. (Nearly all commands will work in Stata 14+ as well.)
Basic familiarity with Stata is highly desirable, but even novice Stata users should be able to follow the presentation and do the exercises.
R notes and syntax are available upon request.
If you’d like to familiarize yourself with Stata basics before the seminar begins, we recommend following along with a “getting started” video like the one here.
Seminar participants who are not yet ready to purchase Stata could take advantage of StataCorp’s 30-day software return policy.
The vast majority of what you will learn in this course can be applied in any software package. This seminar will use the most recent version of Stata for empirical examples and exercises. (Nearly all commands will work in Stata 14+ as well.)
Basic familiarity with Stata is highly desirable, but even novice Stata users should be able to follow the presentation and do the exercises.
R notes and syntax are available upon request.
If you’d like to familiarize yourself with Stata basics before the seminar begins, we recommend following along with a “getting started” video like the one here.
Seminar participants who are not yet ready to purchase Stata could take advantage of StataCorp’s 30-day software return policy.
Who should register?
This course is for anyone who wants to learn to analyze repeated measures panel data. You should have a basic foundation in linear regression.
This course is for anyone who wants to learn to analyze repeated measures panel data. You should have a basic foundation in linear regression.
Seminar outline
- What is panel data?
- Long form and wide form
- Within and between variation
- Mixed models (growth curves) for time-constant treatments
- Introduction to fixed effects (“within” estimation)
- Pre-test/post-test designs
- Two-period difference-in-differences
- Two-way fixed effects
- Between-within models for time-varying treatments
- Introduction to linear structural equations for panel data
- Introduction to dynamic panel models
- What is panel data?
- Long form and wide form
- Within and between variation
- Mixed models (growth curves) for time-constant treatments
- Introduction to fixed effects (“within” estimation)
- Pre-test/post-test designs
- Two-period difference-in-differences
- Two-way fixed effects
- Between-within models for time-varying treatments
- Introduction to linear structural equations for panel data
- Introduction to dynamic panel models
Payment information
The fee of $995 includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.
The fee of $995 includes all course materials.
PayPal and all major credit cards are accepted.
Our Tax ID number is 26-4576270.