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Joshua Angrist

Nobel Prize-Winning Economist

About

Gender: Male
Nationality: United States
Languages: English
Travels from: United States

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Biography Highlights

  • Co-Founder and Director, MIT's Blueprint Labs
  • Co-Author of 'Mostly Harmless Economics' and 'Mastering 'Metrics'
  • Co-Founder, Avela Ed Tech

Biography

Nobel Prize-winning economist and author Joshua Angrist is a pioneer in the use of econometric ideas and tools to answer some of today’s most pressing policy questions. Angrist received the Nobel Prize for his innovative work using natural experiments to answer questions of profound importance. Does it matter whether you go to a highly selective high school or college? Where are the best schools? What are the long-run consequences of military service for those who serve? What are the economic implications of having, or growing up in, a larger family? Why are the sort of statistics we hear so often in the media likely to be misleading? How can you – as the consumer of such information – break through the fog? The tools of econometric data science, wielded with skill and judgment, dispel the hype and offer new insights.

Angrist is also Co-Founder of Avela, an education technology startup that matches students to opportunities, prioritizing equity, accountability, and quality to ensure fair decisions and empower families.

Angrist has co-authored two of the leading texts in applied econometrics and data science, Mostly Harmless Economics: An Empiricist’s Companion and Mastering ‘Metrics: The Path from Cause to Effect. Not only scientifically rigorous, with innovative content, his books are by far the funniest econometrics texts you’re ever likely to see. Angrist is the Ford Professor of Economics at MIT, co-founder and director of MIT’s Blueprint Labs, and a Research Associate at the National Bureau of Economic Research. He has served on many editorial boards and as a co-editor of the Journal of Labor Economics.

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Joshua Angrist book

Mostly Harmless Econometrics – An Empiricist`s Companion

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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Mostly Harmless Econometrics – An Empiricist`s Companion

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
Joshua Angrist book

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

Read more..

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

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