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Ann Michelle Rodgers

University of Michigan at Ann Arbor

500 S. State Street

Ann Arbor, MI 48109

United States

  • University of Michigan at Ann Arbor

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Finding Needles in Haystacks: Multiple-Imputation Record Linkage Using Machine Learning

FRB of Boston Working Paper No. 22-11
Number of pages: 36 Posted: 10 Oct 2022
John M. Abowd, Joelle Abramowitz, Margaret C. Levenstein, Kristin McCue, Dhiren Patki, Trivellore Raghunathan, Ann Michelle Rodgers, Matthew D. Shapiro, Nada Wasi and Dawn Zinsser
Cornell University Department of Economics, University of Michigan at Ann Arbor, University of Michigan at Ann Arbor - Survey Research Center, Government of the United States of America - Bureau of the Census, Federal Reserve Bank of Boston, University of Michigan at Ann Arbor, University of Michigan at Ann Arbor, University of Michigan at Ann Arbor - Department of Economics, Bank of Thailand and University of Michigan at Ann Arbor
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Abstract:

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administrative data, machine learning, multiple imputation, probabilistic record linkage, survey data