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The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables
methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In
the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes
increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics
shows how the basic tools of applied econometrics allow the data to speak.
In addition to econometric essentials, Mostly Harmless Econometrics covers important new
extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right.
Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even
dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of
contemporary social science.
* An irreverent review of econometric essentials
* A focus on tools that applied researchers use most
* Chapters on regression-discontinuity designs, quantile regression, and standard errors
* Many empirical examples
* A clear and concise resource with wide applications