Panel data — data that tracks the same individuals, firms, or countries over time — provides powerful insights into dynamic behaviors and relationships that cross-sectional or time series data alone cannot reveal. This type of data is common in economics, public policy, health, and development research.
This Training Course on Panel Data Model in Stata is designed to provide participants with both theoretical knowledge and practical skills in analyzing panel data using Stata, one of the leading statistical software for applied econometrics. The course will cover various panel data techniques, including fixed and random effects models, difference-in-differences, and dynamic panel models such as the Arellano-Bond estimator.
Through hands-on exercises and real datasets, participants will learn how to structure, analyze, and interpret panel data efficiently and accurately for research and policy formulation.
Participants who successfully complete the course will receive a Certificate of Participation.
OBJECTIVES
By the end of this course the participants will be able to:
- Understand the structure and advantages of panel data
- Use Stata to manage and explore panel datasets
- Choose and implement appropriate panel data models
- Estimate fixed effects and random effects models
- Apply Hausman tests and interpret model results
- Conduct Difference-in-Differences (DiD) analysis
- Estimate dynamic panel models (e.g., GMM)
- Interpret, visualize, and report findings effectively
DURATION
5 days
WHO SHOULD ATTEND?
This course will be highly beneficial to researchers, practitioners in all fields who want to learn about panel data estimates using Stata.
COURSE OUTLINE
Module 1: Introduction to Panel Data and Stata Refresher
- Understanding panel data: structure, types, and examples
- Benefits and challenges of panel data
- Introduction to panel commands in Stata
- Setting and exploring panel data: xtset, xtdescribe
- Data cleaning and reshaping for panel analysis
Module 2: Static Panel Models
- Pooled OLS model
- Fixed effects (within) estimator
- Random effects model
- Hausman test for model selection
- Interpreting and reporting regression outputs
Module 3: Advanced Panel Techniques
- Time-fixed and entity-fixed effects
- Clustered standard errors and robust inference
- Lagged variables and autocorrelation
- Panel data diagnostics: multicollinearity, heteroskedasticity
- Using interaction terms in panel models
Module 4: Difference-in-Differences and Treatment Effects
- Introduction to causal inference in panel data
- Implementing DiD in Stata
- Pre-trends and placebo tests
- Event study design
- Treatment effect interpretation and visualizations
Module 5: Dynamic Panel Data Models and Practical Applications
- Introduction to dynamic models (e.g., Arellano-Bond GMM)
- Endogeneity and instrument variables
- System vs. difference GMM
- Application using real datasets
- Final project presentations and feedback
GENERAL NOTES
- The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
- The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.
- Upon successful completion of this training, participants will be issued with a certificate.
- The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.
- All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
- Accommodation and airport pickup are arranged upon request. For reservations contact the Training coordinator at Email: training@kincaiddevelopmentcenter.org or Tel: +254 724592901
- This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location.
For further inquiries, please contact us on Tel: +254 724592901 or send mail to training@kincaiddevelopmentcenter.org
Payments are due upon registration. Payment should be sent to our Bank account before commencement of training and proof of payment sent to training@kincaiddevelopmentcenter.org