# Regression Discontinuity Designs in Economics

@article{Lee2009RegressionDD, title={Regression Discontinuity Designs in Economics}, author={David S. Lee and Thomas Lemieux}, journal={NBER Working Paper Series}, year={2009} }

This paper provides an introduction and “user guide” to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a “quasi-experimental” design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using… Expand

#### Paper Mentions

#### 3,882 Citations

Regression Discontinuity Designs in Social Sciences 1

- Political Science
- 2013

This chapter provides an overview of Regression Discontinuity (RD) designs for social science researchers. It presents the conceptual framework behind the research design, explains when RD is likely… Expand

Regression discontinuity designs: a hands-on guide for practice

- Italian Political Science Review/Rivista Italiana di Scienza Politica
- 2021

Abstract Regression discontinuity (RD) designs have become increasingly popular in political science, due to their ability to showcase causal effects under weak assumptions. This paper provides an… Expand

Regression Discontinuity Designs with a Continuous Treatment

- Mathematics
- 2019

Many empirical applications of regression discontinuity (RD) designs involve a continuous treatment. This paper establishes identification and bias-corrected robust inference for such RD designs.… Expand

Next : An Improved Method for Identifying Impacts in Regression Discontinuity Designs

- 2016

This paper develops and advocates for a data-driven algorithm that simultaneously selects the polynomial specification and bandwidth combination that minimizes the predicted mean squared error at the… Expand

A Practical Guide to Regression Discontinuity Designs in Political Science

- Political Science
- 2015

We provide a practical guide to the analysis and interpretation of the regression discontinuity (RD) design, an empirical strategy that political scientists are increasingly employing to estimate… Expand

Regression Discontinuity Designs in Social Sciences

- 2013

This chapter provides an overview of Regression Discontinuity (RD) designs for social science researchers. It presents the conceptual framework behind the research design, explains when RD is likely… Expand

Regression Discontinuity Designs: An Introduction

- Computer Science
- 2016

Basic and intuitive insights are presented into the concepts and theory underlying the research design and results from an existing empirical study are presented to enhance understanding of the key elements of regression discontinuity designs. Expand

Recent Perspectives on the Regression Discontinuity Design

- Computer Science
- 2010

The fundamentals of the regression-discontinuity are discussed and recent advances are emphasized. Expand

Inference in Regression Discontinuity Designs with a Discrete Running Variable

- Mathematics
- 2016

We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of using confidence… Expand

Randomization Inference in the Regression Discontinuity Design : Re-examining the empirical evidence on incumbency advantage in the U . S . House ∗

- 2012

We propose a randomization-inference framework to conduct exact finite-sample inference in the regression discontinuity (RD) design, following a recent strand of the literature that advocates… Expand

#### References

SHOWING 1-10 OF 204 REFERENCES

Regression-Discontinuity Analysis: A Survey of Recent Developments in Economics

- Economics
- 2008

This paper provides a discussion of recent developments related to the applicability of the regression discontinuity design in economics. It reviews econometric issues, such as identification and… Expand

Evaluating the Regression Discontinuity Design Using Experimental Data

- 2008

The regression discontinuity (RD) design has recently become a standard method for identifying causal effects for policy interventions. We use an unusual “tie breaking” experiment, the Kentucky… Expand

"Waiting for Life to Arrive": A history of the regression-discontinuity design in Psychology, Statistics and Economics

- Psychology
- 2008

This paper reviews the history of the regression discontinuity design in three academic disciplines. It describes the design's birth and subsequent demise in Psychology even though most problems with… Expand

IDENTIFICATION AND ESTIMATION OF TREATMENT EFFECTS WITH A REGRESSION-DISCONTINUITY DESIGN

- Mathematics
- 2001

Ž. THE REGRESSION DISCONTINUITY RD data design is a quasi-experimental design with the defining characteristic that the probability of receiving treatment changes discontinuously as a function of one… Expand

Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test

- Mathematics
- 2007

Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These… Expand

Evaluating the Effect of an Antidiscrimination Law Using a Regression-Discontinuity Design

- Mathematics
- 1999

The regression discontinuity (RD) data design is a quasi-experimental design with the defining characteristic that the probability of receiving treatment changes discontinuously as a function of one… Expand

Empirical Strategies in Labor Economics

- Economics
- 1998

This chapter provides an overview of the methodological and practical issues that arise when estimating causal relationships that are of interest to labor economists. The subject matter includes… Expand

Kernel Regression in Empirical Microeconomics

- Mathematics
- 1998

We consider the implementation of Kernel methods in empirical microeconomics with specific application to Engel curve estimation in the analysis of consumer behavior. A set of recently developed… Expand

Estimation in the Regression Discontinuity Model

- Mathematics
- 2003

The regression discontinuity model has recently become a commonly applied framework for empirical work in economics. Hahn, Todd, and Van der Klaauw (2001) provide a formal development of the… Expand

Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects

- Economics
- 2005

This paper empirically assesses the wage effects of the Job Corps program, one of the largest federally-funded job training programs in the United States. Even with the aid of a randomized… Expand