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

By Wilbert van der Klaauw. 2008

243 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Statistics and Probability

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Citations in the corpus

Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs (2014, background): “As discussed in Hahn, Todd, and van der Klaauw (2001), under a mild continuity condition, this parameter is nonparametrically identifiable as the difference of two conditional expectations evaluated at the (induced) boundary point x̄ = 0, that is,”
Testing for Manipulation in the Regression Discontinuity Design When the Running Variable Is Discrete (2016, background): “…and still commonly applied to evaluation of education interventions, where threshold-based rules are the norm, RD designs have found wide application in labor economics, public finance, environmental economics, political economy, and other diverse settings (see van der Klaauw, 2008 for a survey).”
Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs (2014, background): “447 July 2019, Vol. 37, No. 3 © 2019 is not plausible; Imbens and Lemieux (2008), Van Der Klaauw (2008), Lee and Lemieux (2010), DiNardo and Lee (2010), and Skovron and Titiunik (2015) provide recent reviews.”
Robust Data-Driven Inference in the Regression-Discontinuity Design (2014, methodology): “For recent reviews on classical inference approaches in the RD design, including comprehensive lists of empirical examples, see Cook (2008), Imbens and Lemieux (2008), van der Klaauw (2008), Lee and Lemieux (2010), Dinardo and Lee (2011), and references therein.”
Regression discontinuity designs with unknown discontinuity points: Testing and estimation (2015, background): “…by Thistlethwaite and Campbell (1960), the Regression discontinuity design (RDD) has attracted much attention among econometricians; see Imbens and Lemieux (2008), van der Klaauw (2008) and Lee and Lemieux (2010) for excellent reviews on up-to-date theoretical developments and applications.”
Regression Discontinuity Designs (2021, unknown): “Hahn, Todd, and van der Klaauw (2001) showed that if the potential outcomes and the treatment received are independent conditional on the score being near the cutoff, then τFRD = E[Yi(1) − Yi(0)|X = c], removing the problem of imperfect”
External Validity in Fuzzy Regression Discontinuity Designs (2019, unknown): “Proof of Lemma 2: By the arguments in Hahn, Todd, and Van Der Klaauw (2001), τ frd = E[Yi(1)|Gi = c, Xi = T ] − E[Yi(0)|Gi = c, Xi = T ].”