TY - JOUR
T1 - A comprehensive history of regression discontinuity designs
T2 - An empirical survey of the last 60 years
AU - Villamizar-Villegas, Mauricio
AU - Pinzon-Puerto, Freddy A.
AU - Ruiz-Sanchez, Maria Alejandra
N1 - Publisher Copyright:
© 2021 John Wiley & Sons Ltd.
PY - 2021
Y1 - 2021
N2 - In this paper we detail the entire Regression Discontinuity Design (RDD) history, including its origins in the 1960s, and its two main waves of formalization in the 1970s and 2000s, 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. 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.
AB - In this paper we detail the entire Regression Discontinuity Design (RDD) history, including its origins in the 1960s, and its two main waves of formalization in the 1970s and 2000s, 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. 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.
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U2 - 10.1111/joes.12461
DO - 10.1111/joes.12461
M3 - Research Article
AN - SCOPUS:85116587771
SN - 0950-0804
JO - Journal of Economic Surveys
JF - Journal of Economic Surveys
ER -