Set up: $34.44
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Set up Unusual: A unique, unread, unused book in ideal condition without a missing or broken pages. Peep the seller’s |
Layout: | Paperback |
| Language: | English | Publication Yr: | 2009 |
| ISBN: |
9780691120355 |
EAN: |
9780691120355 |
| Product Knowledge | |
| The core systems in this day’s econometric toolkit are linear regression for statistical control, instrumental variables systems for the analysis of natural experiments, and variations-in-variations systems that exploit protection modifications. Within the trendy experimentalist paradigm, these suggestions take care of positive causal questions corresponding to: Enact smaller classes amplify studying? Would possibly perchance perhaps merely restful companion batterers be arrested? How much does education elevate wages?Largely Harmless Econometricsshows how the normal tools of applied econometrics enable the information to keep up a correspondence.As well to econometric requirements,Largely Harmless Econometricscovers crucial unique extensions–regression-discontinuity designs and quantile regression–as effectively because the suitable technique to derive regular errors appropriate. Joshua Angrist and J rn-Steffen Pischke present why fancier econometric suggestions are in overall unnecessary and even terrible. The applied econometric systems emphasized in this book are easy to make exercise of and associated for many areas of as much as date social science.An irreverent overview of econometric essentialsA focal point on tools that applied researchers exercise mostChapters on regression-discontinuity designs, quantile regression, and regular errorsMany empirical examplesA positive and concise helpful resource with extensive applications | |
| Product Identifiers | |
| Author | Princeton Tec University Press |
| ISBN-10 | 0691120358 |
| ISBN-13 | 9780691120355 |
| eBay Product ID (ePID) | 67012297 |
| Product Key Aspects | |
| Layout | Paperback |
| Publication Yr | 2009 |
| Language | English |
| Dimensions | |
| Weight | 16 Oz |
| Width | 5.6in. |
| Height | 1in. |
| Measurement | 8.5in. |
| Additional Product Aspects | |
| Dewey Model | 22 |
| Table of Allege material | Checklist of Figures vii Checklist of Tables ix Preface xi Acknowledgments xv Group of This E-book xviiPART I: PRELIMINARIES 1 Chapter 1: Questions about Questions 3 Chapter 2: The Experimental Very most bright 11 2.1 The Selection Self-discipline 12 2.2 Random Assignment Solves the Selection Self-discipline 15 2.3 Regression Diagnosis of Experiments 22PART II: THE CORE 25 Chapter 3: Making Regression Manufacture Sense 27 3.1 Regression Fundamentals 28 3.2 Regression and Causality 51 3.3 Heterogeneity and Nonlinearity 68 3.4 Regression Details 91 3.5 Appendix: Derivation of the Common Spinoff Weighting Goal 110Chapter 4: Instrumental Variables in Motion: Every so usually You Procure What You Need 113 4.1 IV and Causality 115 4.2 Asymptotic 2SLS Inference 138 4.3 Two-Sample IV and Split-Sample IV 147 4.4 IV with Heterogeneous Capability Outcomes 150 4.5 Generalizing LATE 173 4.6 IV Details 188 4.7 Appendix 216Chapter 5: Parallel Worlds: Fixed Results, Differences-in-Differences, and Panel Records 221 5.1 Particular particular person Fixed Results 221 5.2 Differences-in-Differences 227 5.3 Fixed Results versus Lagged Dependent Variables 243 5.4 Appendix: More on Fixed Results and Lagged Dependent Variables 246PART III: EXTENSIONS 249 Chapter 6: Getting a Minute Terrorized: Regression Discontinuity Designs 251 6.1 Interesting RD 251 6.2 Fuzzy RD Is IV 259Chapter 7: Quantile Regression 269 7.1 The Quantile Regression Mannequin 270 7.2 IV Estimation of Quantile Treatment Results 283Chapter 8: Nonstandard Long-established Error Factors 293 8.1 The Bias of Robust Long-established Error Estimates 294 8.2 Clustering and Serial Correlation in Panels 308 8.3 Appendix: Derivation of the Simple Moulton Factor 323Last Words 327 Acronyms and Abbreviations 329 Empirical Studies Index 335 References 339 Index 361 |
| Illustrated | Yes |
| Dewey Decimal | 330.015195 |
| Copyright Date | 2009 |
| Author | Joshua D. Angrist, Jörn-Steffen Pischke |
| Series of Pages | 392 Pages |
| Lc Classification Quantity | Hb139.A54 2008 |
| Publication Date | 2009-01-04 |
| Opinions | I’d imply it to the total fluctuate of empirical economists, from these restful in coaching to of us who, delight in me, dangle easiest a hazy memory of statistical belief and persist with our tried and tested systems of estimation . . . an precise recordsdata to the suitable technique to total overall regression/IV/panel data estimation certainly effectively. Particularly, it demonstrates through many examples the suitable technique to consequence in a happy marriage between one’s underlying mannequin and the information which would possibly perchance perhaps perchance or would possibly perchance perhaps perchance merely now now not verify the researcher’s hypotheses., “A unusual and thought-upsetting read for any budding econometrician. . . . Insightful and refreshing.” –James Davidson, Instances Increased Education, “[T]he matter lined in the book is effectively of hobby to most agricultural economists. Even if it’s miles rarely a total overview of existing econometric learn systems, it certainly contains a correct deal of hands on advice driven by years of expertise.” — European Review of Agricultural Economics, This book is an extremely thought-upsetting contribution to the literature. It champions a totally different paradigm to that characterising most econometrics texts and does so with appreciable (idiosyncratic) vogue and charm. Highly instantaneous! — David Harris and Christopher L. Skeels, Financial Document, “The applied econometric systems emphasized in this book are easy to make exercise of and associated for many areas of as much as date social sciences.” –Pavel Stoynov, Zentralblatt MATH |
| Lccn | 2008-027917 |
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