PDF Mostly Harmless Econometrics: An Empiricist's Companion
Description Mostly Harmless Econometrics: An Empiricist's Companion
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 Jorn-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
Mostly Harmless Econometrics: An Empiricist's Companion PDF ePub
Mostly Harmless Econometrics: An Empiricistâ„¢s Companion ~ econometrics remain largely unchanged, while the interpretation of basic tools has become more nuanced and sophisticated. Our Companion is an empiricistâ„¢s guide to the econometric essentials . . . Mostly Harmless Econometrics. The most important items in an applied econometricianâ„¢s toolkit are: 1.
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Mostly Harmless Econometrics: An Empiricist's Companion on ~ Mostly Harmless Econometrics Book Description: 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.
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