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

By Jinyong Hahn, Petra E. Todd, Wilbert van der Klaauw. 2001

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The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “, individuals at the threshold whose treatment status would have changed had they been on the other side of the threshold) [Hahn et al., 2001].”
Do Parties Matter for Economic Outcomes? A Regression-Discontinuity Approach (2008, positive): “9 The estimated treatment effect from a regression-d iscontinuity design will typically not be the avera ge treatment effect but a marginal treatment effect (s ee, e.g. Hahn et al 2001 ).”
$1,000 Cash Back: The Pass-Through of Auto Manufacturer Promotions (2006, neutral): “See Hahn et al. (2001).”
Weak Identification in Fuzzy Regression Discontinuity Designs (2016, neutral): “This is important since the bandwidth suggested by Silverman’s normal rule-of-thumb is only 8.59 and the optimal bandwidth suggested by Imbens and Kalyanaraman (2012) is 9.67.”
The effects of land transfer taxes on real estate markets: evidence from a natural experiment in Toronto (2012, positive): “Because our policy variable is dichotomous and we consider only a single border, we are much closer to the idealised description of the RD design described by Hahn et al. (2001) and Imbens and Lemieux (2008) or used to the study of the effects of social assistance by Lemieux and Milligan (2008).”