000 | 03507nam a22002057a 4500 | ||
---|---|---|---|
999 |
_c2416 _d2416 |
||
005 | 20220526121711.0 | ||
008 | 220526b ||||| |||| 00| 0 eng d | ||
020 | _a9780691152844 | ||
082 |
_a330.015195 _bANG |
||
100 |
_aAngrist, Joshua D. _96222 |
||
245 | _aMastering `metrics: the path from cause to effect | ||
260 |
_bPrinceton University Press _aNew Jersey _c2015 |
||
300 | _axv, 282 p. | ||
365 |
_aUSD _b37.00 |
||
504 | _aTable of content List of Figures List of Tables Introduction 1 Randomized Trials 1.1 In Sickness and in Health (Insurance) 1.2 The Oregon Trail Masters of ’Metrics: From Daniel to R. A. Fisher Appendix: Mastering Inference 2 Regression 2.1 A Tale of Two Colleges 2.2 Make Me a Match, Run Me a Regression 2.3 Ceteris Paribus? Masters of ’Metrics: Galton and Yule Appendix: Regression Theory 3 Instrumental Variables 3.1 The Charter Conundrum 3.2 Abuse Busters 3.3 The Population Bomb Masters of ’Metrics: The Remarkable Wrights Appendix: IV Theory 4 Regression Discontinuity Designs 4.1 Birthdays and Funerals 4.2 The Elite Illusion Masters of ’Metrics: Donald Campbell 5 Differences-in-Differences 5.1 A Mississippi Experiment 5.2 Drink, Drank, … Masters of ’Metrics: John Snow Appendix: Standard Errors for Regression DD 6 The Wages of Schooling 6.1 Schooling, Experience, and Earnings 6.2 Twins Double the Fun 6.3 Econometricians Are Known by Their … Instruments 6.4 Rustling Sheepskin in the Lone Star State Appendix: Bias from Measurement Error Abbreviations and Acronyms Empirical Notes Acknowledgements Index | ||
520 | _aApplied 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 | ||
650 |
_aEconometrics _9845 |
||
700 |
_aPischke, Jorn-Steffen _96462 |
||
942 |
_2ddc _cBK |