Introduction
In this video, you'll learn the basics of panel data analysis in GAUSS. We demonstrate panel data modeling start to finish, from loading data to running a group specific intercept model.
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Summary and Timeline
You'll see firsthand how to:
- Load and verify panel data.
- Merge data from different sources.
- Convert between wide and long form panel data.
- Explore and clean data.
- Create panel data plots.
- Prepare panel data for estimation.
- Estimate a model with group-specific intercepts.
Timeline
0:41 Set the current working directory.
1:03 Load panel data from an Excel file.
5:32 Merging data from different sources.
06:53 Preliminary data cleaning.
08:40 Panel data plots.
11:12 Stationarity testing.
11:56 Convert long form to wide form panel data.
14:49 Estimate a model with group-specific intercepts.
Additional Resources
- How to Load Excel Data Into GAUSS
- Transforming Panel Data to Long Form in GAUSS
- Visualizing COVID-19 Panel Data With GAUSS 22
- What is a GAUSS Dataframe and Why Should You Care?
- Managing String Data with GAUSS Dataframes
- The GAUSS Data Management Guide
- How to Aggregate Panel Data in GAUSS
- Panel Data Stationarity Test With Structural Breaks