Improving Pre-election Forecasts From Registration Based Sampling: Using Voter Registration Data to Predict Partisan Vote Intention and to Allocate Undecided Voters
Christopher B. Mann, Yale University
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Christopher Mann is acting as a consultant to VCS on matters related to Registration Based Sampling.
Chris is currently a Research Fellow at the Yale Institution for Social and Policy Studies and a Ph.D. candidate in political science at Yale. For the last 4 years, he has worked closely with Professors Donald Green and Alan Gerber to develop and implement the Registration Based Sampling methodology. Before Yale, Chris spent 10 years as a political consultant for campaigns at the federal, statewide, and local level in Illinois, California, New Mexico, Arizona, Utah and Wyoming, serving as Executive Director of the New Mexico Democratic Party, and working on Capitol Hill. His work on Registration Based Sampling brings together his training in advanced statistics with his practical political skills to improve sampling methods for election related polling. |
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