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Mostly Harmless Econometrics : An Empiricist's Companion / Joshua D. Angrist, Jörn-Steffen Pischke.

By: Contributor(s): Material type: TextTextPublisher: Princeton, NJ : Princeton University Press, [2008]Copyright date: ©2009Description: 1 online resource : 8 halftones. 17 line illus. 26 tablesContent type:
Media type:
Carrier type:
ISBN:
  • 9780691120355
  • 9781400829828
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139 .A54 2009eb
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- CONTENTS -- FIGURES -- TABLES -- PREFACE -- ACKNOWLEDGMENTS -- ORGANIZATION OF THIS BOOK -- Part I. Preliminaries -- Chapter 1. Questions about Questions -- Chapter 2. The Experimental Ideal -- Part II. The Core -- Chapter 3. Making Regression Make Sense -- Chapter 4. Instrumental Variables in Action: Sometimes You Get What You Need -- Chapter 5. Parallel Worlds: Fixed Effects, Differences-in-Differences, and Panel Data -- Part III. Extensions -- Chapter 6. Getting a Little Jumpy: Regression Discontinuity Designs -- Chapter 7. Quantile Regression -- Chapter 8. Nonstandard Standard Error Issues -- LAST WORDS -- ACRONYMS AND ABBREVIATIONS -- EMPIRICAL STUDIES INDEX -- REFERENCES -- INDEX
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
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9781400829828

Frontmatter -- CONTENTS -- FIGURES -- TABLES -- PREFACE -- ACKNOWLEDGMENTS -- ORGANIZATION OF THIS BOOK -- Part I. Preliminaries -- Chapter 1. Questions about Questions -- Chapter 2. The Experimental Ideal -- Part II. The Core -- Chapter 3. Making Regression Make Sense -- Chapter 4. Instrumental Variables in Action: Sometimes You Get What You Need -- Chapter 5. Parallel Worlds: Fixed Effects, Differences-in-Differences, and Panel Data -- Part III. Extensions -- Chapter 6. Getting a Little Jumpy: Regression Discontinuity Designs -- Chapter 7. Quantile Regression -- Chapter 8. Nonstandard Standard Error Issues -- LAST WORDS -- ACRONYMS AND ABBREVIATIONS -- EMPIRICAL STUDIES INDEX -- REFERENCES -- INDEX

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

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 20. Jun 2019)