Running and Jumping Variables in RD Designs
Alan Barreca (),
Jason Lindo () and
Glen Waddell ()
No 1001, Working Papers from Tulane University, Department of Economics
This study demonstrates that regression discontinuity designs will arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. We discuss several approaches to diagnosing and correcting for this type of problem. Our primary example focuses on the use of birth weights as a running variable. We begin by showing that birth weights are measured most precisely for children of white and highly educated mothers. As a result, less healthy children, who are more likely to be of low socioeconomic status, are disproportionately represented at multiples of round numbers. For this reason, RD estimates using birth weight as the running variable will be biased in a manner that leads one to conclude that it is "good" to be strictly less than any 100-gram cutoff. As such, prior estimates of the effects of very low birth weight classification (Almond, Doyle, Kowalski, and Williams 2010) have been overstated and appear to be zero. We also demonstrate potential problems using days of birth or grade point averages as running variables.
Keywords: regression discontinuity; birth weight; infant mortality (search for similar items in EconPapers)
JEL-codes: C21 C14 I12 (search for similar items in EconPapers)
Pages: 46 pages
New Economics Papers: this item is included in nep-ecm
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
http://repec.tulane.edu/RePEc/pdf/tul1001.pdf First version, 2010 (application/pdf)
http://repec.tulane.edu/RePEc/pdf/tul1001r1.pdf Revised version, 2011 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:tul:wpaper:1001
Access Statistics for this paper
More papers in Working Papers from Tulane University, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Valentina Martinez Pabon ().