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A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years

Author

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  • Villamizar-Villegas, Mauricio
  • Pinzón-Puerto, Freddy A.
  • Ruiz-Sánchez, María Alejandra

Abstract

In this paper we detail the entire Regression Discontinuity Design (RDD) history, including its origins in the 1960's, and its two main waves of formalization in the 1970's and 2000's, both of which are rarely acknowledged in the literature. Also, we dissect the empirical work into fuzzy and sharp designs and provide some intuition as to why some rule-based criteria produce imperfect compliance. Finally, we break the literature down by economic field, highlighting the main outcomes, treatments, and running variables employed. Overall, we see some topics in economics gaining importance through time, like the cases of: health, finance, crime, environment, and political economy. In particular, we highlight applications in finance as the most novel. Nonetheless, we recognize that the field of education stands out as the uncontested RDD champion through time, with the greatest number of empirical applications.

Suggested Citation

  • Villamizar-Villegas, Mauricio & Pinzón-Puerto, Freddy A. & Ruiz-Sánchez, María Alejandra, 2020. "A Comprehensive History of Regression Discontinuity Designs: An Empirical Survey of the last 60 Years," Working papers 38, Red Investigadores de Economía.
  • Handle: RePEc:rie:riecdt:38
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    Cited by:

    1. Meier, Pascal Flurin & Flepp, Raphael & Franck, Egon, 2025. "Expectational reference points and belief formation: Field evidence from financial analysts," Journal of Economic Behavior & Organization, Elsevier, vol. 229(C).
    2. Huang, Bin & Li, Bo & Walker, Ian & Zhu, Yu, 2022. "Does It Pay to Attend More Selective High Schools? Regression Discontinuity Evidence from China," IZA Discussion Papers 15756, Institute of Labor Economics (IZA).
    3. Agarwal, Natasha & Chan, Jackie M.L. & Lodefalk, Magnus & Tang, Aili & Tano, Sofia & Wang, Zheng, 2023. "Mitigating information frictions in trade: Evidence from export credit guarantees," Journal of International Economics, Elsevier, vol. 145(C).
    4. Jaime Bonet-Morón & Jhorland Ayala-García & Jorge Guerra-España, 2024. "Staying in Power: How Does Political Continuity Shape Debt," Documentos de trabajo sobre Economía Regional y Urbana 331, Banco de la Republica de Colombia.
    5. Nägel, Christof & Nivette, Amy, 2023. "The Rodney King incident and verdict revisited: Examining opinion-mobilizing effects using data from Southern California in 1991 and 1992," Journal of Criminal Justice, Elsevier, vol. 85(C).
    6. Wilmar Cabrera & Santiago Gamba & Camilo Gómez & Mauricio Villamizar-Villegas, 2022. "Examining Macroprudential Policy through a Microprudential Lens," Borradores de Economia 1212, Banco de la Republica de Colombia.
    7. Vargas-Herrera, Hernando & Villamizar-Villegas, Mauricio, 2024. "Effectiveness of FX intervention and the flimsiness of exchange rate expectations," Journal of Financial Stability, Elsevier, vol. 74(C).
    8. Freddy A. Pinzón-Puerto & Mauricio Villamizar-Villegas, 2023. "Do Actions Speak Louder than Words? A Foreign Exchange Intervention Analysis," Borradores de Economia 1223, Banco de la Republica de Colombia.

    More about this item

    Keywords

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    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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