From Joshua Angrist, winner of the Nobel Prize in Economics, and
Jörn-Steffen Pischke, an accessible and fun guide to the essential
tools of econometric research 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
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The Path from Cause to Effect
Produktdetaljer
ISBN
9781400852383
Publisert
2014
Utgiver
Princeton University Press
Språk
Product language
Engelsk
Format
Product format
Digital bok
Antall sider
304
Forfatter