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Mastering 'Metrics

The Path from Cause to Effect
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( 870 ratings, 81 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Mastering 'Metrics introduces the core methods of applied econometrics, the data science focused on uncovering cause and effect in economics. The authors explain five key techniques—random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences—using real-world examples that highlight their power and relevance. This approach blends rigorous analysis with engaging storytelling and a touch of humour.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for students and professionals in economics and social sciences seeking a practical and enjoyable introduction to econometric methods. Its accessible style also benefits readers interested in data-driven approaches to understanding policy and social issues.

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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 demonstrat

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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 humour, 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? Randomised 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.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Financial Analysts Journal praises the book for balancing enjoyment with valuable quantitative insight, calling it a rare read in econometrics that engages while educating.

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Book Details

INFORMATION

ISBN: 9780691152844

Publisher: Princeton University Press

Format: Paperback / softback

Date Published: 21 December 2014

Country: United States

Imprint: Princeton University Press

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 140.0mm

Height: 216.0mm

Weight: 340g

Pages: 304

About the Author

Joshua D. Angrist, winner of the 2021 Nobel Prize in Economics, is the Ford Professor of Economics at the Massachusetts Institute of Technology. Jrn-Steffen Pischke is professor of economics at the London School of Economics and Political Science. They are the authors of Mostly Harmless Econometrics (Princeton).

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