MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICIST'S COMPANION
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Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books | MES LIBRARY, PONNANI | ECONOMICS | 330.01 ANG/M (Browse shelf) | Available | 37890 |
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330 YER/T THE COMMANDING HEIGHTS | 330 ZAC/D DYNAMICS OF MIGRATION IN KERALA | 330.010 9 MAD/EC ECONOMIC THINKING IN INDIA | 330.01 ANG/M MOSTLY HARMLESS ECONOMETRICS: AN EMPIRICIST'S COMPANION | 330.015 195 AGA/M MATHEMATICS AND STATISTICS IN ECONOMICS | 330.015 195 ALL/S STATISTICS FOR ECONOMICS | 330.015 195 AST/S STATISTICAL METHODS FOR ECONOMICS |
https://press.princeton.edu/books/paperback/9780691120355/mostly-harmless-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
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