|1.||Regression models designed to control for variables that may mask the causal effects of interest;|
|2.||Instrumental variables methods for the analysis of real and natural experiments;|
|3.||Differences-in-differences-type strategies that use repeated observations to control for unobserved omitted factors.|
The productive use of these basic techniques requires a solid conceptual foundation and a good understanding of the machinery of statistical inference. Both aspects of applied econometrics are covered here.
Our view of what's important has been shaped by our experience as empirical researchers, and especially by our work teaching and advising economics Ph.D. students. This book was written with these students in mind. At the same time, we hope the book will find an audience among other groups of researchers who have an urgent need for practical answers regarding choice of technique and the interpretation