Abowd, John M.

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data
Abowd, John M.; McKinney, Kevin L.; Zhao, Nellie
Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining
the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate
for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the

Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Secure the Future of the Federal Statistical System?

Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Secure the Future of the Federal Statistical System?
Weinberg, Daniel; Abowd, John M.; Belli, Robert F.; Cressie, Noel; Folch, David C.; Holan, Scott H.; Levenstein, Margaret C.; Olson, Kristen M.; Reiter, Jerome P.; Shapiro, Matthew D.; Smyth, Jolene; Soh, Leen-Kiat; Spencer, Bruce; Spielman, Seth E.; Vilhuber, Lars; Wikle, Christopher
The National Science Foundation-Census Bureau Research Network (NCRN) was established in

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data
Abowd, John M.; McKinney, Kevin L.; Zhao, Nellie
Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining
the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate
for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the

NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network

NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network
Abowd, John M.; Fienberg, Stephen E.
May 8, 2015 CNSTAT Public Seminar

NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network

NCRN Meeting Spring 2015: Can Government-Academic Partnerships Help Secure the Future of the Federal Statistical System? Examples from the NSF-Census Research Network
Abowd, John M.; Fienberg, Stephen E.
May 8, 2015 CNSTAT Public Seminar

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