5.1 — Panel Data and Fixed Effects — Class Content
Problem Set 5 is due on Monday November 28.
Overview
Today, we begin our brief look at panel data, where we track multiple individuals over time. Panel data contains its own unique challenges, because it contains a time series component for every individual, giving potential sources of bias.
We now need to understand the third assumption about
We can correct for these with a fixed effects model that isolates and absorbs some of that bias. In general, for a two-way fixed effects model:
Each observation is an individual
- Let
be our dependent variable, and be the independent variable of interest. We would like to estimate the causal effect of . is the group fixed-effect. It absorbs all unobservable factors that vary by group but don’t change over time. is the time fixed-effect. It absorbs all unobservable factors that do not vary by group but change over time.- Since the fixed effects do not pick up factors that both vary by group and change over time, we need to include other variables that might cause
to be endogenous: hence, is the remaining (random) error term (after we have pulled and out of .
Readings
- Ch. 8.1—8.4 in Bailey, Real Econometrics
Assignments
Problem Set 5 Due Mon Nov 28
Problem Set 5 is due by the end of the day on Wednesday, November 28.
Slides
Below, you can find the slides in two formats. Clicking the image will bring you to the html version of the slides in a new tab. The lower button will allow you to download a PDF version of the slides.
I suggest printing the slides beforehand and using them to take additional notes in class (not everything is in the slides)!