Paperback: 304 pages
Publisher: Princeton University Press (December 21, 2014)
Language: English
ISBN-10: 0691152845
ISBN-13: 978-0691152844
Product Dimensions: 5.6 x 0.7 x 8.4 inches
Shipping Weight: 11.2 ounces (View shipping rates and policies)
Average Customer Review: 4.0 out of 5 stars See all reviews (27 customer reviews)
Best Sellers Rank: #19,146 in Books (See Top 100 in Books) #6 in Books > Business & Money > Economics > Econometrics
Imagine that you are taking a senior undergraduate seminar class, and the professor has picked out about a dozen recent social science papers (1/3 authored by Angrist) with econometric analyses in order to teach the various statistical methods that you learned in your econometrics class. That is what this book feels like. The topics of the papers try to answer causal questions such as, “Does low cost or free health insurance improve health outcomes?”, “Does attending a highly selective private university lead to higher earnings compared to a less competitive public university?”, and “Do charter schools increase student test scores?” The authors introduce the background for each paper then describe their favored econometric techniques to determine the answers (randomized trial, regression, instrumental variable, regression discontinuity, and differences-in-differences). The first 3 techniques are covered extensively in most introductory econometrics textbooks, while the last 2 are much less covered. A few other econometrics topics are sprinkled throughout the text.For those with an economics degree or a very good grasp of statistical analysis, this book can be a nice refresher on econometric techniques used to determine causal effects through experiments or quasi-experiments. A more advanced treatment (with linear algebra and calculus) of the same topics can be found in the authors’ other book “Mostly Harmless Econometrics”.For those that are upper level economics or social science majors in college, this book can serve as a supplement to an econometrics or advanced statistics class by providing real examples of econometrics in action and act as a bridge to understanding econometrics research articles.
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