Current research falls into three general categories. First, developing methodologies for the detection and measurement of electoral fraud, with specific application to Central Europe and the states of the former-USSR. This research is, of course, part of the larger agenda of studying voting generally in these states. Second, refinement and additional testing of a specific methodology for aggregate data analysis. Having found existing methods (e.g. G. King et al) imperfect and mis-specified, I, in collaboration with M. Myagkov and mathematicians at the Institute for Open Economy in Moscow have developed an extension of the Chambers-Steel model, which we are currently subjecting to testing with artificial data. Third, completion of my manuscript with M. Klochko using agent based modeling that focuses on endogenous time preferences and endogenous social networks. Upon completion of this manuscript (currently in galley form) the various models will be applied to other parameters of individual choice and alternative specifications of network transition structures.
Last updated: March 20, 2009 14:48
