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.
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
P.131: ...a statistically significant reduced-form estimate with no evidence of a corresponding first stage is cause for worry, because this suggests some channel other than the treatment variable links instruments with outcomes. In this spirit, ALS identif...
评分P.131: ...a statistically significant reduced-form estimate with no evidence of a corresponding first stage is cause for worry, because this suggests some channel other than the treatment variable links instruments with outcomes. In this spirit, ALS identif...
评分P.131: ...a statistically significant reduced-form estimate with no evidence of a corresponding first stage is cause for worry, because this suggests some channel other than the treatment variable links instruments with outcomes. In this spirit, ALS identif...
评分用TA的话讲这本书是baby version of mostly harmless econometrics,内容涵盖randomrized expreiments,regression,IV,RD,DID,重intuition轻数学推导(也可以说是没有),喜欢先从intuition讲起的计量,可以了解到计量究竟在研究中发挥怎样的作用。 本书的核心即为通过建立...
评分P.131: ...a statistically significant reduced-form estimate with no evidence of a corresponding first stage is cause for worry, because this suggests some channel other than the treatment variable links instruments with outcomes. In this spirit, ALS identif...
计量经济学新手村通关...
评分计量经济学新手村通关...
评分读过,可惜读不下去。像简化版的“mostly harmless econometrics”.
评分计量经济学新手村通关...
评分A&P两位大神的文笔真是好~
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