Mostly Harmless Econometrics: An Empiricist's Companion

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Princeton University Press, Jan 4, 2009 - Business & Economics - 373 pages

From Joshua Angrist, winner of the Nobel Prize in Economics, and Jörn-Steffen Pischke, an irreverent guide to the essentials of econometrics

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
 

Contents

Questions about Questions
3
The Experimental Ideal
11
Making Regression Make Sense
27
Sometimes
113
Fixed Effects DifferencesinDifferences
221
Regression Discontinuity
251
Quantile Regression
270
Nonstandard Standard Error Issues
293
Last Words
327
Empirical Studies Index
335
Index
361
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