- STATA Software
- Advanced level Panel Data modelling
- Dynamic Panel Models
- Includes STATA do-files
- Hands-on course
- Expert instruction with one-to-one session at the end
- Highly motivated master students
- PhD students
- Early career researchers
- University faculty members
PANEL DATA ANALYSIS IN STATA
This (online) course presents panel data estimation techniques and their applications in STATA. The course is organized into five modules. Module 1 introduces panel data, particularly how panel data structure looks like and the basic panel data model. Module 2 demonstrates how to import excel data in STATA, declare your data as panel in STATA, test whether panel data modeling is really needed for your data, and how to keep track of your activities in STATA. Module 3 presents basic (static) panel data models including the famous random and fixed effects model and how to determine which of the two models is appropriate for your data. Module 4 presents advanced (dynamic) panel data models based on generalized method of moments (GMM) – often used to mitigate endogeneity concerns. Module 5 concludes the course with a summary of learning outcomes, ways to export STATA output to MS Word and some useful references for panel data analysis. In each module there is an exercise to test your understanding of the topics covered.
If you are interested in only dynamic panel data models, checkout our course on Generalized Method of Moments (GMM).
Dr. Stephen Zamore is a Postdoctoral Research Fellow in Accounting and Auditing at the School of Business and Law, University of Agder (UiA), Kristiansand. He obtained his Ph.D and MSc degrees from UiA and BSc degree from the Kwame Nkrumah University of Science and Technology. He is a Chartered Accountant certified by the Institute of Chartered Accountants in Ghana. His PhD dissertation has been recognized and chosen for the prestigious 2020 Emerald and EFMD Outstanding Doctoral Research Award in the Finance category. He has published articles in Journal of Banking and Finance, Applied Economics, Research in International Business and Finance, Emerging Markets Finance and Trade, Journal of International Development, Journal of African Business, International Journal of Emerging Markets, and International Journal of Financial Services Management. Follow his research at researchgate
Participants receives course completion certificate from Research HUB upon finishing all lectures and MCQs within 01 to 30 weeks from the enrollment date.
THE COURSE INCLUDES
- 26 on-demand lectures.
- MCQ tests for assessment (+2 retake).
- Full lecture slides.
- Full Stata do-file for all analysis.
- 02 sample datasets for panel data analysis practice.
- 30 minutes ZOOM consultation at the end (upon request).
- Lifetime access to course resources and updates.
See Payment Options here.
The course contents are subject to copyright. Unauthorized distribution of the course contents will lead to legal actions by Research HUB. The enrolled participants will have lifetime access to the course materials and any future updates. For institutional subscription, contact us at firstname.lastname@example.org.
Module 1: Introduction to Panel Data
Module 2: Panel Data Set-up in STATA
Module 3: Static panel data models
Module 4: Dynamic panel data models
Module 5: Two-error model, output reporting and references
- Two-way error component
- STATA output in MS Word – Copy paste
- STATA output in MS Word – asdoc command
- STATA output in MS Word – outreg2 command
- STATA output in MS Word – esttab command
- Additional reporting in journal article
- References for panel data analysis
- Summary of learning outcome
- Panel Data Test 5
Md. Shafiqul Islam
Effective for beginnersIf you are considering a course that teaches you the concept of Panel data analysis in Stata from the beginning with a practical example then this might be the best course to take. Specially the do files were very helpful but I think it would be better if two different data sets were used in different examples.
Content is good but sound is lowThe content is good. I completed the course on October 28, 2020.