Panel data models have become increasingly popular among applied researchers due to their heightened capacity for capturing the complexity of human behavior, as compared to cross-sectional or time series data models. This second edition represents a substantial revision of the highly successful first edition (1986). Recent advances in panel data research are presented in an accessible manner and are carefully integrated with the older material. The thorough discussion of theory and the judicious use of empirical examples make this book useful to graduate students and advanced researchers in economics, business, sociology and political science.
Oof. We only read about half of this book for my course at ICPSR. I have the phrase "come back and review more thoroughly" written all over my reading notes from this book. There's lots of math so that is kind of daunting if that's not your strength (like me). But, from what I did read, the author does a really great job of going through the math in a way that you truly understand the mechanics behind the models - the strengths, weaknesses, and what it actually does vs. cannot do. Most of the mathematical explanations are then grounded in real world/real research examples. So even though I'm really overwhelmed by the book right now...I know when I dive back into it later I'll come out the other side with a better understanding of how to work with panel data in all kinds of settings.