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Using Containers for Analysis Validation at Scale

In: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences

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  • Lars Vilhuber

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  • Lars Vilhuber, 2024. "Using Containers for Analysis Validation at Scale," NBER Chapters, in: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15026
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    1. Satkartar K. Kinney & Jerome P. Reiter & Javier Miranda, 2014. "Improving The Synthetic Longitudinal Business Database," Working Papers 14-12, Center for Economic Studies, U.S. Census Bureau.
    2. Katharine G. Abraham & John Haltiwanger & Kristin Sandusky & James R. Spletzer, 2013. "Exploring Differences in Employment between Household and Establishment Data," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 129-172.
    3. Jeff Larrimore & Richard V. Burkhauser & Shuaizhang Feng & Laura Zayatz, 2008. "Consistent Cell Means for Topcoded Incomes in the Public Use March CPS (1976-2007)," NBER Working Papers 13941, National Bureau of Economic Research, Inc.
    4. Reiter, Jerome P. & Oganian, Anna & Karr, Alan F., 2009. "Verification servers: Enabling analysts to assess the quality of inferences from public use data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1475-1482, February.
    5. J. Trent Alexander & Michael Davern & Betsey Stevenson, 2010. "Inaccurate age and sex data in the Census PUMS files: Evidence and Implications," NBER Working Papers 15703, National Bureau of Economic Research, Inc.
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