Joshua David Angrist

Applied economists have long struggled with the question of how to accommodate binary endogenous regressors in models with binary and non-negative outcomes. I argue here that much of the difficulty with limited-dependent variables comes from a focus on structural parameters, such as index coefficients, instead of causal effects. Once the object of estimation is taken to be the causal effect of treatment, a number of simple strategies is available. These include conventional two-stage least squares, multiplicative models for conditional means, linear approximation of nonlinear causal models, models for distribution effects, and quantile regression with an endogenous binary regressor. The estimation strategies discussed in the paper are illustrated by using multiple births to estimate the effect of childbearing on employment status and hours of work.

Simple Strategies for Empirical Practice

Estimation of Limited-dependent Variable Models with Dummy Endogenous Regressors

Alan B. Krueger

Empirical Strategies in Labor Economics

Education Matters presents in one volume many of Alan B. Krueger's contributions to the economics of education. This invaluable collection of papers, based on his groundbreaking research from the 1990s, has been published in a wide range of professional outlets and has influenced public policy and research in the US and throughout the world.The book opens with an introductory essay explaining the importance of the study of the economics of education as well as providing an overview of the book. The author then goes on to discuss and analyse the important topics in the economics of education, including the economic pay off from attending school for longer, the return to investments in school resources, causes of the increased pay off to education, the contribution of education to economic growth, and racial differences in school quality and their consequences. The final chapter provides a framework for evaluating schools.This fascinating collection of work, from a writer at the forefront of economics and educational research, will be warmly welcomed by academics in the areas of human capital, economics and public policy, as well as by educational policymakers.

Selected Essays by Alan B. Krueger

Education Matters

Jörn-Steffen Pischke

"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

The Path from Cause to Effect

Mastering 'metrics

An Empiricists Companion

Mostly Harmless Econometrics

Joshua David Angrist

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