Multi-Cutoff Rd Designs with Observations Located at Each Cutoff: Problems and Solutions

51 Pages Posted: 4 Feb 2022

See all articles by Margherita Fort

Margherita Fort

University of Bologna; Ifo Institute, CESifo (Center for Economic Studies and Ifo Institute), Ifo Institute; IZA

Andrea Ichino

European University Institute

Enrico Rettore

University of Padua; IRVAPP

Giulio Zanella

University of Bologna

Multiple version iconThere are 2 versions of this paper

Date Written: January 1, 2022

Abstract

In RD designs with multiple cutoffs, the identification of an average causal effect across cutoffs may be problematic if a marginally exposed subject is located exactly at each cutoff. This occurs whenever a fixed number of treatment slots is allocated starting from the subject with the highest (or lowest) value of the score, until exhaustion. Exploiting the ``within’’ variability at each cutoff is the safest and likely efficient option. Alternative strategies exist, but they do not always guarantee identification of a meaningful causal effect and are less precise. To illustrate our findings, we revisit the study of Pop-Eleches and Urquiola (2013).

Keywords: multiple cutoffs, Normalizing-and-Pooling, Regression Discontinuity

JEL Classification: C01

Suggested Citation

Fort, Margherita and Ichino, Andrea and Rettore, Enrico and Zanella, Giulio, Multi-Cutoff Rd Designs with Observations Located at Each Cutoff: Problems and Solutions (January 1, 2022). CEPR Discussion Paper No. DP16974, Available at SSRN: https://ssrn.com/abstract=4026880

Margherita Fort (Contact Author)

University of Bologna ( email )

Piazza Scaravilli 2
Bologna, 40100
Italy

Ifo Institute, CESifo (Center for Economic Studies and Ifo Institute), Ifo Institute ( email )

Poschinger Str. 5
Munich
Germany

IZA ( email )

Andrea Ichino

European University Institute ( email )

Villa Schifanoia
133 via Bocaccio
Firenze (Florence), 50014
Italy

Enrico Rettore

University of Padua ( email )

Via Verdi 26
Trento, 28122
Italy
+39 0461 281316 (Phone)

IRVAPP ( email )

Via Santa Croce 77
Trento, I-38122
Italy

Giulio Zanella

University of Bologna ( email )

Piazza Scaravilli 2
Bologna, 40100
Italy

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
0
Abstract Views
80
PlumX Metrics