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Mostly Harmless Econometrics
An Empiricist's Companion
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Check link for latest rating. ( 1,031 ratings, 73 reviews)
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
Mostly Harmless Econometrics is ideal for social science researchers, econometrics students, and applied economists seeking clear, practical guidance on causal inference and regression techniques. Its accessible approach suits both beginners and those looking to strengthen their empirical analysis skills without delving into unnecessary complex theory.
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See moreShows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.
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 University What a fascinating and useful book! The application of econometrics in empirical research is as much art as science. What is most distinctive about Mostly Harmless Econometrics relative to other graduate-level econometrics books (besides the colorful prose style!) is that because the authors are longtime practitioners of applied microeconometrics, they speak often and insightfully about the art. I expect it's a great thing to work in the same department with Angrist or Pischke and to be able to ask their advice. Having this book close at hand is the next best thing. When you consult the book to see 'What would Angrist and Pischke do?' about econometric issues you encounter in your own research, you won't necessarily end up doing what they would in every single instance, but I bet you always will benefit from getting their take on the issue. -- Gary Solon, Michigan State 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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Description
From Joshua Angrist, winner of the Nobel Prize in Economics - 2021, and Jörn-Steffen Pischke, an irreverent guide to the essentials of econometrics
Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression, as well as how to get standard errors right. It is suitable for various areas in contemporary social science.
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, it covers important new extensions such as 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 emphasised 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
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Praised for being quirky and thought-provoking, the book is recommended for empirical economists at all levels, from trainees to seasoned researchers. Reviews highlight it as an excellent, insightful, and refreshing guide that helps readers effectively align their models with data. The clear focus on practical methods and hands-on advice is valued across disciplines, including agricultural economics and social sciences.
Book Details
INFORMATION
ISBN: 9780691120355
Publisher: Princeton University Press
Format: Paperback / softback
Date Published: 04 January 2009
Country: United States
Imprint: Princeton University Press
Illustration: 25 b/w illus. 26 tables.
Audience: Professional and scholarly
DIMENSIONS
Width: 140.0mm
Height: 216.0mm
Weight: 454g
Pages: 392
About the Author
Joshua D. Angrist, winner of the 2021 Nobel Prize in Economics, is the Ford Professor of Economics at the Massachusetts Institute of Technology. Jrn-Steffen Pischke is professor of economics at the London School of Economics and Political Science.
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