Catching Cheating Students
Steven Levitt and
Ming-Jen Lin
Authors registered in the RePEc Author Service: 明仁 林
No 21628, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We develop a simple algorithm for detecting exam cheating between students who copy off one another’s exam. When this algorithm is applied to exams in a general science course at a top university, we find strong evidence of cheating by at least 10 percent of the students. Students studying together cannot explain our findings. Matching incorrect answers prove to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears.
JEL-codes: K42 (search for similar items in EconPapers)
Date: 2015-10
New Economics Papers: this item is included in nep-edu and nep-law
Note: LE PE
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published as Ming‐Jen Lin & Steven D. Levitt, 2020. "Catching Cheating Students," Economica, London School of Economics and Political Science, vol. 87(348), pages 885-900, October.
Downloads: (external link)
http://www.nber.org/papers/w21628.pdf (application/pdf)
Related works:
Journal Article: Catching Cheating Students (2020) 
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:nbr:nberwo:21628
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w21628
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by (wpc@nber.org).