The core methods in today's econometric toolkit are linear
regression for statistical control, instrumental variables methods
for the analysis of natural experiments, and
differences-in-differences methods that exploit policy changes. In
the modern experimentalist paradigm, these techniques address clear
causal questions such as: Do smaller classes increase learning?
Should wife batterers be arrested? How much does education raise
wages? "Mostly Harmless Econometrics" shows how the basic tools of
applied econometrics allow the data to speak.
In addition to econometric essentials, "Mostly Harmless
Econometrics" covers important new
extensions--regression-discontinuity designs and quantile
regression--as well as how to get standard errors right. Joshua
Angrist and Jorn-Steffen Pischke explain why fancier econometric
techniques are typically unnecessary and even dangerous. The
applied econometric methods emphasized in this book are easy to use
and relevant for many areas of contemporary social science.An
irreverent review of econometric essentials A focus on tools that
applied researchers use most Chapters on regression-discontinuity
designs, quantile regression, and standard errors Many empirical
examples A clear and concise resource with wide applications"
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