Introduction to Panel Data (Data Science using Stata: Complete Beginners Course)

【Ｏｎｌｉｎｅ　Ｃｏｕｒｓｅｓ】

This video explains how to work with panel data. We discuss the benefits of using panel data, including Granger causality and the assessment of policy changes. We introduced fixed and random effects models, which we implement in Stata. The regression outputs are explained and compared.

All the material, including slides, data, and the Stata code, is available on GitHub (see Channel pages for a link).

*Chapters*
0:00 Introduction to Panel Data
0:26 Benefits of Panel Data
1:23 Analysing Policy Changes
1:58 Causality
3:01 Time Lags
3:19 Panel Data Models
3:59 SOLS or POLS
4:20 Fixed & Random Effects
7:11 Worked Example in Stata
8:40 Panel Regressions in Stata
9:36 The tsset Command
11:07 Interpretation of Output
13:46 Model Comparison

About the course
This course offers a complete introduction to Data Science. You do not have to have any background in statistics, mathematics or the use of software (Stata). We will cover a wide range of topics, including (1) Introduction to statistical models and Stata, (2) Exploring data, (3) Regression analysis, (4) Post estimation analysis, (5) Analysing panel data, (6) Binary choice models, (7) Model specification, and (8) Measuring the immeasurable: CFA (confirmatory factor analysis) and SEM (structural equation models). The academic version of this course was developed using the title “Analysing Qualitative and Quantitative Data” at SOAS University of London (2015-2019). A much more applied version was created for HMRC and delivered from 2012 to 2015. This version is a very applied and hands-on experience in data science – modified for YouTube.

The channel
YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages, including Python, Stata, and C++, to tackle problems and for fun.

Hashtags
#datascience #dataanalytics #stata

[imomjonkhamid]

I am learning a lot from your videos, I hope you will continue and do more topics for beginners and intermediate users. Vielen Dank!

[ismailboujnane]

Thanks for your valuable input Dr Gerhard. I would like to see on your next upcoming videos a tutorial on the two step gmm model with the use of xtabond2 command, that would be very appreciated and impactful. Also, I wonder whether do you provide any consultancy service which could be directed to check other external models ?

[Dr_Shiny]

Dr I am struggling with a large panel (T=40, N=30).

I want to try any dynamic panel model, which model would you suggest?

(Note: T=40 quarters, 10 years of quarterly data, N= 30 Banks)