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Mastering Metrics

Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 1400852382
Size: 13.19 MB
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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 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

Mastering Metrics

Author: Joshua D. Angrist
Publisher:
ISBN: 9780691152837
Size: 33.71 MB
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"Written by true 'masters of 'metrics, ' this book is perfect for those who wish to study this important subject. Using real-world examples and only elementary statistics, Angrist and Pischke convey the central methods of causal inference with clarity and wit."--Hal Varian, chief economist at Google "With humor and rigor, this book explores key approaches in applied econometrics. The authors present accessible, interesting examples--using data-heavy figures and graphic-style comics--to teach practitioners the intuition and statistical understanding they need to become masters of 'metrics. A must-read for anyone using data to investigate questions of causality!"--Melissa S. Kearney, University of Maryland and the Brookings Institution "This valuable book connects the dots between mathematical formulas, statistical methods, and real-world policy analysis. Reading it is like overhearing a conversation between two grumpy old men who happen to be economists--and I mean this in the best way possible."--Andrew Gelman, Columbia University "Modern econometrics is more than just a set of statistical tools--causal inference in the social sciences requires a careful, inquisitive mindset. "Mastering 'Metrics" is an engaging, fun, and highly accessible guide to the paradigm of causal inference."--David Deming, Harvard University "Few fields of statistical inquiry have seen faster progress over the last several decades than causal inference. With an engaging, insightful style, Angrist and Pischke catch readers up on five powerful methods in this area. If you seek to make causal inferences, or understand those made by others, you will want to read this book as soon as possible."--Gary King, Harvard University "Posing several well-chosen empirical questions in social science, "Mastering 'Metrics" develops methods to provide the answers and applies them to interesting datasets. This book will motivate beginning students to understand econometrics, with an appreciation of its strengths and limits."--Gary Chamberlain, Harvard University "Focusing on five econometric tools, "Mastering 'Metrics" presents key econometric concepts. Any field that uses statistical techniques to conduct causal inference will find this book useful."--Melvyn Weeks, University of Cambridge

Mastering Metrics

Author: Joshua D. Angrist
Publisher:
ISBN: 9780691152844
Size: 74.44 MB
Format: PDF, Mobi
View: 1984
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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 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

Mostly Harmless Econometrics

Author: Joshua D. Angrist
Publisher: Princeton University Press
ISBN: 9781400829828
Size: 47.71 MB
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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 Jörn-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

Running Randomized Evaluations

Author: Rachel Glennerster
Publisher: Princeton University Press
ISBN: 140084844X
Size: 37.73 MB
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This book provides a comprehensive yet accessible guide to running randomized impact evaluations of social programs. Drawing on the experience of researchers at the Abdul Latif Jameel Poverty Action Lab, which has run hundreds of such evaluations in dozens of countries throughout the world, it offers practical insights on how to use this powerful technique, especially in resource-poor environments. This step-by-step guide explains why and when randomized evaluations are useful, in what situations they should be used, and how to prioritize different evaluation opportunities. It shows how to design and analyze studies that answer important questions while respecting the constraints of those working on and benefiting from the program being evaluated. The book gives concrete tips on issues such as improving the quality of a study despite tight budget constraints, and demonstrates how the results of randomized impact evaluations can inform policy. With its self-contained modules, this one-of-a-kind guide is easy to navigate. It also includes invaluable references and a checklist of the common pitfalls to avoid. Provides the most up-to-date guide to running randomized evaluations of social programs, especially in developing countries Offers practical tips on how to complete high-quality studies in even the most challenging environments Self-contained modules allow for easy reference and flexible teaching and learning Comprehensive yet nontechnical

Identification Problems In The Social Sciences

Author: Charles F. Manski
Publisher: Harvard University Press
ISBN: 9780674442849
Size: 45.53 MB
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The author draws on examples from a range of disciplines to provide social and behavioural scientists with a toolkit for finding bounds when predicting behaviours based upon nonexperimental and experimental data.

Africa S Turn

Author: Edward Miguel
Publisher: MIT Press
ISBN: 0262260999
Size: 64.45 MB
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By the end of the twentieth century, sub-Saharan Africa had experienced twenty-five years of economic and political disaster. While "economic miracles" in China and India raised hundreds of millions from extreme poverty, Africa seemed to have been overtaken by violent conflict and mass destitution, and ranked lowest in the world in just about every economic and social indicator. Working in Busia, a small Kenyan border town, economist Edward Miguel began to notice something different starting in 1997: modest but steady economic progress, with new construction projects, flower markets, shops, and ubiquitous cell phones. In Africa's Turn? Miguel tracks a decade of comparably hopeful economic trends throughout sub-Saharan Africa and suggests that we may be seeing a turnaround. He bases his hopes on a range of recent changes: democracy is finally taking root in many countries; China's successes have fueled large-scale investment in Africa; and rising commodity prices have helped as well. Miguel warns, though, that the growth is fragile. Violence and climate change could derail it quickly, and he argues for specific international assistance when drought and civil strife loom. Responding to Miguel, nine experts gauge his optimism. Some question the progress of democracy in Africa or are more skeptical about China's constructive impact, while others think that Miguel has underestimated the threats represented by climate change and population growth. But most agree that something new is happening, and that policy innovations in health, education, agriculture, and government accountability are the key to Africa's future.Contributors Olu Ajakaiye, Ken Banks, Robert Bates, Paul Collier, Rachel Glennerster, Rosamond Naylor, Smita Singh, David N. Weil, and Jeremy M. Weinstein

Quantitative Social Science

Author: Kosuke Imai
Publisher: Princeton University Press
ISBN: 1400885256
Size: 40.19 MB
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Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Econometrics By Example

Author: Damodar Gujarati
Publisher: Macmillan International Higher Education
ISBN: 1137375027
Size: 49.40 MB
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The second edition of this bestselling textbook retains its unique learning-by-doing approach to the study of econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. The book features: • a wide-ranging collection of examples, with data on mortgages, credit ratings, graduate school admission, fashion sales and more • a clear, concise, writing style that guides you from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics • coverage of modern topics such as instrumental variables and panel data • extensive use of Stata and EViews statistical packages with reproductions of their output • an appendix discussing the basic concepts of statistics The second edition has been fully revised and updated, and features two brand new chapters on Quantile Regression Modeling and Multivariate Regression Models, new extended examples accompanied by real-life data, and new student exercises at the end of each chapter. www.palgrave.com/companion/gujarati-econometrics-by-example-2e/ For lecturers: bonus chapters, PowerPoint slides, solutions to all exercises For students: downloadable data sets and chapter summaries

Counterfactuals And Causal Inference

Author: Stephen L. Morgan
Publisher: Cambridge University Press
ISBN: 1107065070
Size: 42.78 MB
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This new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.