Mastering 'Metrics: The Path from Cause to Effect

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		Mastering 'Metrics: The Path from Cause to Effect
		Mastering 'Metrics: The Path from Cause to Effect

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

网友对Mastering 'Metrics: The Path from Cause to Effect的评论

非常好的应用计量教材。如果你有一定的计量经济学基础，这本书对你的实证研究一定很有帮助。值得购买和细读。

书的质量很好，内容也不错，
不过需要仔细阅读，需要有一定计量经济学基础的人仔细阅读。

This is a really good introduction to applied econometrics. The authors elect for a more intuitive approach than they take in their earlier book, Mostly Harmless Econometrics. The result is an entertaining and easy read that provides a nice conceptual understanding of the ideas behind applied econometrics. This would be a good book to read over the summer before taking an course in econometrics if you are completely new to the field. Readers with more experience and/or knowledge in the field will find the book a little light on the technical details, but nonetheless very interesting and useful as a refresher on the conceptual stuff.

A very well-written book. Clear, interesting and an enjoyable read. There is sufficient mathematical formulaic representations without overwhelming those who are new to the literature. For those who have a good background, it enhances the comprehensibility of the connections between formulas and methods involved in causal inferential statistics.

Superb book. It's a simplified version of "Mostly Harmless Econometrics". Very clearly written. Good introduction to modern applied econometric methods. Can be followed by someone with only one semester of statistics, but would be of better value to someone who has had an introductory econometrics course.

This is a great guide for students of Econometrics. It's more interesting than a textbook you might find, but it's not a "for dummies" type of book. Their other book "Mostly Harmless Econometrics" is also good, but is more advanced.

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