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An Interview with John M. Abowd

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  • Ian Schmutte
  • Lars Vilhuber

Abstract

John M. Abowd is the Chief Scientist and Associate Director for Research and Methodology, US Census Bureau. He completed his AB in Economics at Notre Dame in 1973 and his PhD 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, and missing data problems, among others.

Suggested Citation

  • Ian Schmutte & Lars Vilhuber, 2022. "An Interview with John M. Abowd," International Statistical Review, International Statistical Institute, vol. 90(1), pages 1-40, April.
    • Handle: RePEc:bla:istatr:v:90:y:2022:i:1:p:1-40
    DOI: 10.1111/insr.12489
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    References listed on IDEAS

    as
    1. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    2. Kenneth C. Kehrer & John F. McDonald & Robert A. Moffitt, "undated". "Final Report of the Gary Income Maintenance Experiment: Labor Supply," Mathematica Policy Research Reports 51df25f673f04a369a8883ba4, Mathematica Policy Research.
    3. John M. Abowd & Bryce E. Stephens & Lars Vilhuber & Fredrik Andersson & Kevin L. McKinney & Marc Roemer & Simon Woodcock, 2009. "The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators," NBER Chapters, in: Producer Dynamics: New Evidence from Micro Data, pages 149-230, National Bureau of Economic Research, Inc.
    4. John M. Abowd & Kaj Gittings & Kevin L. McKinney & Bryce E. Stephens & Lars Vilhuber & Simon Woodcock, 2012. "Dynamically Consistent Noise Infusion and Partially Synthetic Data as Confidentiality Protection Measures for Related Time Series," Working Papers 12-13, Center for Economic Studies, U.S. Census Bureau.
    5. Kelly, Terence F & Singer, Leslie, 1971. "The Gary Income Maintenance Experiment: Plans and Progress," American Economic Review, American Economic Association, vol. 61(2), pages 30-38, May.
    6. John M. Abowd & Kevin L. McKinney & Ian M. Schmutte, 2019. "Modeling Endogenous Mobility in Earnings Determination," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 405-418, July.
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