An Empirical Comparison of Parametric and Nonparametric Methods Applied to the Measurement of Election Fraud

• In Event: New Approaches in Measurement

Brief Overview

Using the data from Russia's elections, this paper provides a comparison of election fraud measures derived from the parametric model developed by Walter Mebane and a nonparametric method built on vote-turnout histograms proposed by Sergey Shpilkin.

Author

• Kirill Olegovich Kalinin, Stanford University