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Project: Positive Empirical Models of Election Frauds

Positive Empirical Models of Election Frauds

Election forensics describes a growing body of work devoted to using statistical methods to try to determine whether the results of an election are accurate: whether the results are the collective choice implied by citizens’ intentions given the election rules. Building on previous models, this project attempts not only to estimate the incidence and magnitudes of any frauds that occur, but also to be able to recover what the election results would have been in the absence of frauds. This project will improve the Election Forensics Toolkit that was originally produced for the USAID. 


Walter Mebane, Center for Political Studies (PI)


American National Science Foundation

Project Period

September 1, 2015 – August 31, 2018