Lars Vilhuber

Senior Research Associate

Overview

His interest in statistical disclosure limitation issues is a consequence of his other research interest: working with highly detailed longitudinally linked data to analyze the effects and causes of mass layoffs, worker mobility, and the dynamics of the local labor market.

He is presently on the faculty of the Department of Economics at Cornell University, a Senior Research Associate at the ILR School at Cornell University, Ithaca, Executive Director of ILR’s Labor Dynamics Institute. He is the American Economic Association‘s Data Editor, affiliated with the U.S. Census Bureau (Center for Economic Studies, CES), and on advisory boards for French and Canadian restricted-access research data centers.

Over the years, he has also gained extensive expertise on the data needs of economists and other social scientists, having been involved in the creation and maintenance of several data systems designed with analysis, publication, replicability, and maintenance of large-scale code bases in mind.

Dr. Lars Vilhuber has an undergraduate degree in Economics from Universität Bonn, Germany, and a Ph.D. in Economics from Université de Montréal, Montreal, Canada. He has worked in both research and government. He has consulted with government and statistical agencies in Canada and the United States.

Research Focus

His research interests lie in the dynamics of the labor market: working with highly detailed longitudinally linked data, he has analyzed the effects and causes of mass layoffs, worker mobility, and the interaction between housing and the local labor market. Over the years, he has also gained extensive expertise on the data needs of economists and other social scientists, having been involved in the creation and maintenance of several data systems designed with analysis, publication, replicability, and maintenance of large-scale code bases in mind. His research in statistical disclosure limitation issues is a direct consequence of his profound interest in making data available in a multitude of formats to the broadest possible audience. His knowledge about various data enclave systems comes from both personal experience and the desire to improve the experience of others. He is an expert on data access, reproducible practices, and attempts to convey that to broader audiences of scientists and others.

Awards and Honors

  • U.S. Census Bureau Bronze Medal, U.S. Census Bureau. 2025
  • Statistical Partnerships Among Academe, Industry & Government Committee (SPAIG), American Statistical Association. 2025

Publications

Journal Articles

Book Chapters

  • John Abowd, Ian M. Schmutte, & Lars Vilhuber. (2021). Disclosure Limitation and Confidentiality Protection in Linked Data. Wiley.
  • Ian Schmutte, & Lars Vilhuber. (2021). Balancing Privacy and Data Usability: An Overview of Disclosure Avoidance Methods. In Handbook on Using Administrative Data for Research and Evidence-Based Policy. Abdul Latif Jameel Poverty Action Lab.
  • Jim Shen, & Lars Vilhuber. (2021). Physically Protecting Sensitive Data. In Handbook on Using Administrative Data for Research and Evidence-Based Policy. Abdul Latif Jameel Poverty Action Lab.
  • . . View from Academia: Making Confidential Data Part of Reproducible Research. In Methods to Foster Transparency and Reproducibility of Federal Statistics. (pp. 63-66). The National Academies Press.
  • Lars Vilhuber. 2009. Adjusting imperfect data: Overview and case studies. in Wage Structure, Raises and Mobility: International Comparisons of the Structure of Wages Within and Across Firms. University of Chicago Press, 2009. Edward P Lazear, Kathryn L Shaw.
  • Lars Vilhuber, John Abowd, Fredrik Andersson, Kevin L McKinney, Marc Roemer, Bryce E Stephens, Simon Woodcock. 2009. The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicators. in Producer Dynamics: New Evidence from Micro Data. University of Chicago Press, 2009. Timothy Dunne, J Bradford Jensen, Mark J Roberts.
  • Lars Vilhuber, John Abowd, Kevin L McKinney. 2009. The link between human capital, mass layoffs, and firm deaths. in Producer Dynamics: New Evidence from Micro Data. University of Chicago Press, 2009. Timothy Dunne, J Bradford Jensen, Mark J Roberts.
  • Lars Vilhuber, Lisa Dragoset. 2008. How Did Universal Primary Education Affect Returns to Education and Labor Market Participation in Uganda. in Youth in Africa’s Labor Market. Washington, DC, United States: World Bank, 2008. Marito Garcia, Jean Farès.
  • Lars Vilhuber, David N Margolis, Erik Plug, Véronique Simonnet. 2004. Early Career Experiences and Later Career Outcomes: An International Comparison. in Human Capital Over The Life Cycle - A European Perspective. London, United Kingdom: Edward Elgar, 2004. Catherine Sofer. (90-117)

Books

 

Research Reports

  • Lars Vilhuber, Miklos Kóren, Joan Llull, Marie Connolly, & Peter Morrow. (2020). A template README for social science replication packages.
  • Lars Vilhuber, Charles Bérubé, & Benoit Dostie. (2013). Estimation de la contribution de la réallocation de la main-d'oeuvre à la croissance de la productivité au Canada.
  • Sarah von Schrader, William Erickson, Lars Vilhuber, & Thomas P Golden. (2012). Disability and Employment Status Report (Reports for 60 NY counties).

Conference Proceedings

  • Samuel Haney, Ashwin Machanavajjhala, John Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber. 2017. Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. SIGMOD 2017, 2017. (Accepted)
  • Lars Vilhuber, Jörg Drechsler. 2014. Synthetic Longitudinal Business Databases for International Comparisons. in Lecture Notes in Computer Science. Berlin, Germany: Springer, 2014. Domingo-Ferrer, Josep .
  • Lars Vilhuber, Javier Miranda. 2014. Using Partially Synthetic Data to Replace Suppression in the Business Dynamics Statistics: Early Results. in Lecture Notes in Computer Science. Berlin, Germany: Springer, 2014. Domingo-Ferrer, Josep .
  • Lars Vilhuber, Carl Lagoze, Jeremy Williams. 2013. Encoding Provenance Metadata for Social Science Datasets. in Communications in Computer and Information Science. Berlin, Germany: Springer LNCS Proceedings, 2013. xx. (12)(Accepted)
  • John 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. in 2012 Research Conference. Washington, DC, United States: Federal Committee on Statistical Methodology, 2012. (40)
  • Lars Vilhuber, Ashwin Machanavajjhala, Daniel Kifer, John Abowd, Johannes Gehrke. 2008. Privacy: Theory Meets Practice on the Map. International Conference on Data Engineering (ICDE), 2008.
  • John Abowd, Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke, Lars Vilhuber. 2008. Privacy: Theory Meets Practice on the Map. International Conference on Data Engineering (ICDE), 2008. (277-286)
  • Lars Vilhuber, John Abowd. 2008. How Protective Are Synthetic Data. in Privacy in Statistical Databases: Proceedings of the UNESCO Chair in Data Privacy International Conference PSD2008. Springer Lecture Notes in Computer Science, 2008. (239-246)

Selected Works

Selected Works is a service of BePress Publishing that helps readers follow a scholar's most current work. View Selected Works of Lars Vilhuber

ECON Courses - Spring 2025

ECON Courses - Fall 2025

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