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Mostly Harmless Econometrics: An Empiricist's Companion (ISE)

ISBN 9780691120355
Edition 1
Publication Date
Publisher Princeton University Press
Author(s)
Overview
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''This pathbreaking book is a must-read for any scientist who is interested in formulating and testing hypotheses about the social world. This includes political scientists, sociologists, historians, geographers, and anthropologists. The book is clever and funny, and guides you through the tangle of problems that confront empirical research in social science. I wish I had had it years ago.''--James Robinson, Harvard Universit''Interesting and unusual, this is an econometrics book with attitude. It offers real answers and suggestions to problems faced daily by those engaged in the analysis of economic data. I will recommend it to my students.''--Guido Imbens, Harvard University''A well-written and very quirky take on econometric practice.''--Orley Ashenfelter, Princeton University
Overview
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''This pathbreaking book is a must-read for any scientist who is interested in formulating and testing hypotheses about the social world. This includes political scientists, sociologists, historians, geographers, and anthropologists. The book is clever and funny, and guides you through the tangle of problems that confront empirical research in social science. I wish I had had it years ago.''--James Robinson, Harvard Universit''Interesting and unusual, this is an econometrics book with attitude. It offers real answers and suggestions to problems faced daily by those engaged in the analysis of economic data. I will recommend it to my students.''--Guido Imbens, Harvard University''A well-written and very quirky take on econometric practice.''--Orley Ashenfelter, Princeton University

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