Mastering ’Metrics
内容简介
Applied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.
The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.
Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect.
Shows why econometrics is important
Explains econometric research through humorous and accessible discussion
Outlines empirical methods central to modern econometric practice
Works through interesting and relevant real-world examples
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作者简介
Joshua D. Angrist is the Ford Professor of Economics at the Massachusetts Institute of Technology. Jörn-Steffen Pischke is professor of economics at the London School of Economics and Political Science. They are the authors of Mostly Harmless Econometrics.
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目录
TABLE OF CONTENTS:
List of Figures vii
List of Tables ix
Introduction xi
1 Randomized Trials 1
1.1 In Sickness and in Health (Insurance) 1
1.2 The Oregon Trail 24
Masters of 'Metrics: From Daniel to R. A. Fisher 30
Appendix: Mastering Inference 33
2 Regression 47
2.1 A Tale of Two Colleges 47
2.2 Make Me a Match, Run Me a Regression 55
2.3 Ceteris Paribus? 68
Masters of 'Metrics: Galton and Yule 79
Appendix: Regression Theory 82
3 Instrumental Variables 98
3.1 The Charter Conundrum 99
3.2 Abuse Busters 115
3.3 The Population Bomb 123
Masters of 'Metrics: The Remarkable Wrights 139
Appendix: IV Theory 142
4 Regression Discontinuity Designs 147
4.1 Birthdays and Funerals 148
4.2 The Elite Illusion 164
Masters of 'Metrics: Donald Campbell 175
5 Differences-in-Differences 178
5.1 A Mississippi Experiment 178
5.2 Drink, Drank, . . . 191
Masters of 'Metrics: John Snow 204
Appendix: Standard Errors for Regression DD 205
6 The Wages of Schooling 209
6.1 Schooling, Experience, and Earnings 209
6.2 Twins Double the Fun 217
6.3 Econometricians Are Known by Their . . . Instruments 223
6.4 Rustling Sheepskin in the Lone Star State 235
Appendix: Bias from Measurement Error 240
Abbreviations and Acronyms 245
Empirical Notes 249
Acknowledgments 269
Index 271
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读书文摘
researchers change the causal variables of interest (say, the availability of college financial aid) for a group selected using something like a coin toss.
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