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dc.contributor.authorSchmutte, Ian
dc.contributor.authorVilhuber, Lars
dc.date.accessioned2022-02-22T20:03:24Z
dc.date.available2022-02-22T20:03:24Z
dc.date.issued2022-02-20
dc.identifier.urihttps://hdl.handle.net/1813/110981
dc.description.abstractJohn M. Abowd is the Chief Scientist and Associate Director for Research and Methodology, U.S. Census Bureau. He completed his A.B. in Economics at NotreDame in 1973 and his Ph.D. in Economics at University of Chicago in 1977 under Arnold Zellner. During his academic career, John has held faculty positions at Princeton, the University of Chicago, and, since 1987 at Cornell University where he is the Edmund Ezra Day Professor Emeritus of Economics, Statistics and Data Science. John was trained as a statistician and labor economist, and his economic research has focused on the rigorous empirical evaluation of labor market institutions. In the late 1990s, he began working with the Census Bureau on projects that would end up leveraging administrative and survey records into official statistical products. Through that work, he has developed a research agenda focused on issues necessary to generate those products, including data privacy, synthetic data, total error analysis, data linkage, missing data problems, among others.en_US
dc.language.isoen_USen_US
dc.publisherWIleyen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectdifferential privacyen_US
dc.subjectofficial statisticsen_US
dc.subjectus censusen_US
dc.subjectstatistical disclosure limitationen_US
dc.subjectlinked employer - employee dataen_US
dc.subjectlabor economicsen_US
dc.titleAn Interview with John M. Abowden_US
dc.typearticleen_US
dc.typeinterviewen_US
dc.relation.doihttps://doi.org/10.1111/insr.12489en_US
schema.accessibilityHazardnoneen_US


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