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Mostly harmless econometrics: an empiricist's companion

By: Contributor(s): Material type: TextTextPublication details: Princeton University Press New Jersey 2009Description: xiii, 373 pISBN:
  • 9780691120355
Subject(s): DDC classification:
  • 330.015195 ANG
Summary: 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 (https://press.princeton.edu/books/paperback/9780691120355/mostly-harmless-econometrics)
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Public Policy & General Management 330.015195 ANG (Browse shelf(Opens below)) 1 Available 006302
Book Book Indian Institute of Management LRC General Stacks Public Policy & General Management 330.015195 ANG (Browse shelf(Opens below)) 2 Available G00382

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

(https://press.princeton.edu/books/paperback/9780691120355/mostly-harmless-econometrics)

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