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Abowd, John M., and Ian M. Schmutte. Revisiting the Economics of Privacy: Population Statistics and Confidentiality Protection as Public Goods, Labor Dynamics Institute Document. 37, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/37/.
Abowd, John M., Kevin L. Mckinney, and Nellie Zhao. Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data., 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/34/.
Abowd, John M.. Why Statistical Agencies Need to Take Privacy-loss Budgets Seriously, and What It Means When They Do., 2016, available at http://digitalcommons.ilr.cornell.edu/ldi/32/.
Abowd, John M., Kevin L. Mckinney, and Ian M. Schmutte. Modeling Endogenous Mobility in Wage Determination., 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/28/.
Abowd, John M., Kevin L. Mckinney, and Ian M. Schmutte. "Modeling Endogenous Mobility in Earnings Determination." Journal of Business & Economic Statistics (2017): 0. DOI: 10.1080/07350015.2017.1356727, available at http://dx.doi.org/10.1080/07350015.2017.1356727.
Abowd, John M., Francis Kramarz, Sebastien Perez-Duarte, and Ian M. Schmutte. Sorting Between and Within Industries: A Testable Model of Assortative Matching. Labor Dynamics Institute Document 40, 2017, available at http://digitalcommons.ilr.cornell.edu/ldi/40/.
Abowd, John M., Francis Kramarz, Sebastien Perez-Duarte, and Ian M. Schmutte. "Sorting Between and Within Industries: A Testable Model of Assortative Matching." Annals of Economics and Statistics (2018).
Abowd, John M., Kevin L. Mckinney, and Nellie Zhao. "Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data." Journal of Labor Economics (2018).