Regression discontinuity designs in economics
Open accessAbstract
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 examples drawn from the growing body of empirical research using RD. (JEL C21, C31)
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- Authors
- Lee, D. S., & Lemieux, T.
- Affiliations
- National Bureau of Economic Research (US)
- ORCID
- Lee, David S
- Venue
- Journal of Economic Literature
- Publisher
- American Economic Association
- Published
- 2010-06-01
- Volume
- 48
- Issue
- 2
- Pages
- 281-355
- ISSN
- 0022-0515 (ISSN-L)
- OpenAlex
- W3121492802
- Cited by
- 4,534
- References
- 74
- Citations by year
- 2026: 248 · 2025: 305 · 2024: 343 · 2023: 324 · 2022: 380 · 2021: 336 · 2020: 334 · 2019: 349 · 2018: 279 · 2017: 323 · 2016: 292 · 2015: 291 · 2014: 215 · 2013: 196 · 2012: 132
- FWCI
- 133.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.nber.org
- Locations
- Journal of Economic Literature (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Keywords
- regression discontinuity design, quasi-experimental design, causal inference, estimation methods, economic incentives
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