Panel Data Analysis Essential Training

Focused View

Franz Buscha and Madecraft

1:36:39

56 View

01 - Introduction

01 - How panel data makes a difference.mp4

01:00

02 - What you should know.mp4

01:57

02 - 1. Panel Data

01 - What is panel data.mp4

03:57

02 - Advantages of panel data.mp4

03:15

03 - Disadvantages of panel data.mp4

03:43

04 - Types of panel data.mp4

04:47

03 - 2. Panel Data Management

01 - Long vs. wide form.mp4

04:24

02 - Appending and merging.mp4

04:40

04 - 3. Describing Panel Data

01 - Describing panel data.mp4

04:45

02 - Overall, between, and within summaries.mp4

02:50

03 - Transition summaries.mp4

04:57

05 - 4. Linear Models

01 - Error component models.mp4

06:21

02 - Pooled OLS models.mp4

05:28

03 - Fixed effect models.mp4

05:46

04 - Random effect models.mp4

05:30

05 - Multilevel models.mp4

06:10

06 - Fixed or random effects.mp4

03:54

07 - Mundlak correction.mp4

05:50

06 - 5. Other Models

01 - Nonlinear models.mp4

07:06

02 - Dynamic models.mp4

07:36

07 - Conclusion

01 - Next steps and additional resources.mp4

02:43

Description

Panel data is among the most complex data sources available to data analysis scientists. Analyzing such data requires an understanding of a new class of models that go beyond traditional linear regression techniques. In this course, professor of economics Franz Buscha introduces you to such models and highlights how and when to use them. Franz covers best practices, basic panel data setup, descriptive analysis, and advanced modeling techniques. He explains each topic theoretically and shows you a simple practical example. Franz goes over common panel data models, including FE and RE estimation, and explores advanced panel data techniques, such as Mundlak, dynamic, and nonlinear models.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

Data Analysis

Franz Buscha and Madecraft

Instructor's Courses

Franz is a labour economist with more than 15 years of research experience. Research interests include education economics, labour economics and econometrics. Franz has published in leading journals such as the European Economic Review, Economics of Education Review, the Oxford Bulletin of Economics and Statistics, the British Journal of Political Science and the British Journal of Sociology and contributed to numerous policy reports for UK government departments (including DFE, HMRC, BIS, MOD, and HMT). His research has been covered by various media outlets such as the BBC News, BBC Radio 4, The Economist, The Guardian, The Times and the Huffington Post. Franz has held various academic roles and is currently the faculty director of research for the Westminster Business School. In this role he is responsible for the faculty's research strategy and oversees the research activities of 200 members of staff.

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.