1. Wasi, N. & Flaaen, A. (2015). Record linkage using Stata: Preprocessing, linking, and reviewing utilities. Stata Journal 15(3): 672-697. [GA=69]
  2. Sorkin, I. (2017). “The Role of Firms in Gender Earnings Inequality: Evidence from the United States.” American Economic Review, 107 (5): 384-87. DOI: 10.1257/aer.p20171015
  3. Sorkin, I. (2018). Ranking Firms Using Revealed Preference. Quarterly Journal of Economics 133(3): 1331-1393, 201[GS=137]
  4. Boehm, C., Flaeen, A., & Pandalai-Nayar, N. (2019). Input Linkages and the Transmission of Shocks: Firm Level Evidence from the 2011 Tohoku Earthquake. The Review of Economics and Statistics 101:1, 60-75 [GS=147]
  5. Flaaen, A., Shapiro, M. D., & Sorkin, I. (2019). Reconsidering the Consequences of Worker Displacements: Firm versus Worker Perspective. American Economic Journal: Macroeconomics 11(2) (2019) 193–227. [GS=13]
  6. Patki, D., & Shapiro, M. D. (2023). Implicates as Instrumental Variables: An Approach for Estimation and Inference with Probabilistically Matched Data. Journal of Survey Statistics and Methodology, 00, 1–22.  Preprint PDF.

Working Papers

  1. Juhn, C., & McCue, K. (2012). Workplace Characteristics and Employment of Older Workers. CES 12-31.
  2. Flaaen, A. (2014). Multinational Firms in Context. [GS=4]
  3. Hudomiet, P. (2015). Career interruptions and measurement error in annual earnings. Earlier title was “Dynamic Survey Measurement Error in Annual Earnings – The Role of Cognition, Earnings Shocks and Untaxed Earnings”.
  4. Hudomiet, P. (2015). The role of occupation specific adaptation costs in explaining the educational gap in unemployment.
  5. Willis, R. J., Rohwedder, S., Kezdi, G., & Hudomiet, P. (2015) (2015). Financial Knowledge, fluid intelligence, and investment decisions.
  6. Wasi, N. et al. (2019). Employer List Linking: A Collaboration Project between the Census Bureau, University of Michigan, and Cornell University (joint with G. Gathright, A. Greene, M. Kutzbach, K. McCue, E. McEntarfer, H. Monti, A. Rodgers, K. Trageser, L. Vilhuber, & C. Wignall).
  7. Abowd, J. M., Abramowitz, J., Levenstein, M.C., McCue, K., Patki, D., Raghunathan, T., Rodgers, A. M., Shapiro, M. D., & Wasi, N. (2019). Optimal Probabilistic Record Linkage: Best Practice for Linking Employers in Survey and Administrative Data. Working Paper 19-08, Center for Economic Studies, U.S. Census Bureau.
  8. Wasi, N., Steorts, R. C., & Segal, B. NA Understanding Differences between Self-Reported and Administrative Records of Job Histories.
  9. Wasi, N., Steorts, R. C., & Segal, B. Scalable, Imputable Empirical Bayes for Entity Resolution.
  10. Wasi, N., & Keane, M. P. Labor Supply, Human Capital Accumulation and Retirement.
  11. Sorkin, I., & Wallskog. M. Firms Dynamics and Earnings Inequality.
  12. Wallskog, M. Changing Nature of Work: The Rise of Persistent Multiple Job Holding.
  13. Wallskog, M. Aging and Aggregate Productivity: The Impact of a Changing Worker Age Distribution on the Productivity of New and Incumbent Firms.
  14. Patki, D. Breaking the Implicit Contract: Using Pension Freezes to Study Lifetime Labor Supply. Unpublished paper, University of Michigan.

Datasets and Software

  1. CenHRS BR Crosswalk. (available in FSRDC)
  2. Wasi, N., Flaaen. A. Record linkage using Stata. (see article above)
  3. Wasi, N., Rodgers, A., & McCue, K. (2018). SAS program to standardize business names.