EconPapers    
Economics at your fingertips  
 

HEAPING-INDUCED BIAS IN REGRESSION-DISCONTINUITY DESIGNS

Alan Barreca (), Jason Lindo () and Glen R. Waddell

Economic Inquiry, 2016, vol. 54, issue 1, 268-293

Abstract: type="main" xml:id="ecin12225-abs-0001"> This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics may not be well suited to identifying this type of problem, we provide alternatives, and then discuss the usefulness of different approaches to addressing the bias. We then consider these issues in multiple non-simulated environments. (JEL C21, C14, I12)

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (70) Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1111/ecin.2016.54.issue-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Heaping-Induced Bias in Regression-Discontinuity Designs (2011) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:ecinqu:v:54:y:2016:i:1:p:268-293

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0095-2583

Access Statistics for this article

Economic Inquiry is currently edited by Preston McAfee

More articles in Economic Inquiry from Western Economic Association International Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2021-06-10
Handle: RePEc:bla:ecinqu:v:54:y:2016:i:1:p:268-293