HEAPING-INDUCED BIAS IN REGRESSION-DISCONTINUITY DESIGNS Academic Article

abstract

• 2016 Western Economic Association International. 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.

authors

• Lindo, Jason

published proceedings

• ECONOMIC INQUIRY

altmetric score

• 20.5

author list (cited authors)

• Barreca, A. I., Lindo, J. M., & Waddell, G. R.

citation count

• 138

complete list of authors

• Barreca, Alan I||Lindo, Jason M||Waddell, Glen R

publication date

• January 2016

publisher

• Wiley  Publisher

published in

• ECONOMIC INQUIRY  Journal

keywords

• 38 Economics
• 3801 Applied Economics
• 3802 Econometrics
• 3803 Economic Theory
• Generic Health Relevance

Digital Object Identifier (DOI)

• 10.1111/ecin.12225

start page

• 268

end page

• 293

volume

• 54

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1111%2Fecin.12225