Walter R. Mebane Jr.

Faculty Associate, CPS
Professor, LSA Political Science
Professor, LSA Statistics
Walter R. Mebane Jr.


Walter Mebane Jr.'s current research focuses on election forensics, which describes a growing body of work devoted to using statistical methods to try to determine whether the results of an election are accurate. His current project "Positive Empirical Models of Election Frauds" 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.

  • RIDIR: The Sub-National Data Archive System for Social and Behavioral Data. (Kenneth W. Kollman, Nahomi Ichino, Brian K. Min, Mai Hassan, Kevin Michael Quinn, M. Anne Pitcher, Robert J. Franzese Jr., Allen D. Hicken, Yuri Zhukov, Walter R. Mebane Jr., Yuki Shiraito, Christopher Jennings Fariss) 2019-2021. NSF.
  • Election Forensics Statistical Testing. (Walter R. Mebane Jr.) 2018-2019.
  • Libya Election Forensics. (Walter R. Mebane Jr.) 2017-2018. USAID.
  • Positive Empirical Models of Election Frauds. (Walter R. Mebane Jr.) 2015-2019. National Science Foundation.