Papers Containing Keywords(s): 'workers earnings'
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John M. Abowd - 5
Viewing papers 11 through 15 of 15
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Working PaperIt's Where You Work: Increases In Earnings Dispersion Across Establishments And Individuals In The U.S.
September 2014
Working Paper Number:
CES-14-33
This paper links data on establishments and individuals to analyze the role of establishments in the increase in inequality that has become a central topic in economic analysis and policy debate. It decomposes changes in the variance of ln earnings among individuals into the part due to changes in earnings among establishments and the part due to changes in earnings within-establishments and finds that much of the 1970s-2010s increase in earnings inequality results from increased dispersion of the earnings among the establishments where individuals work. It also shows that the divergence of establishment earnings occurred within and across industries and was associated with increased variance of revenues per worker. Our results direct attention to the fundamental role of establishment-level pay setting and economic adjustments in earnings inequality.View Full Paper PDF
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Working PaperUSING THE PARETO DISTRIBUTION TO IMPROVE ESTIMATES OF TOPCODED EARNINGS
April 2014
Working Paper Number:
CES-14-21
Inconsistent censoring in the public-use March Current Population Survey (CPS) limits its usefulness in measuring labor earnings trends. Using Pareto estimation methods with less-censored internal CPS data, we create an enhanced cell-mean series to capture top earnings in the public-use CPS. We find that previous approaches for imputing topcoded earnings systematically understate top earnings. Annual earnings inequality trends since 1963 using our series closely approximate those found by Kopczuk, Saez, & Song (2010) using Social Security Administration data for commerce and industry workers. However, when we consider all workers, earnings inequality levels are higher but earnings growth is more modestView Full Paper PDF
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Working PaperLocal Manufacturing Establishments and the Earnings of Manufacturing Workers: Insights from Matched Employer-Employee Data
January 2011
Working Paper Number:
CES-11-01
We analyze the earnings determination process of more than 400,000 rural manufacturing workers in 12 selected U.S. states. Our theoretical motivation stems from an ongoing interest in the benefits of locally oriented business establishments. In this case, we distinguish manufacturing concerns that are single establishments in one rural place from branch plants that are part of larger multi-establishment enterprises. Our data permit us to introduce attributes of both workers and their employing firms into earnings determination models. For manufacturing workers in 'micropolitan' rural counties, we find that working for a local (single) establishment has a positive impact on annual earnings. However, tenure with a firm returns more earnings for workers in non-local manufacturing facilities. Conversely, for manufacturing workers in 'noncore' or rural areas without urban cores, we find that working for a local establishment has a negative effect on earnings. But, job tenure pays off more when working for a local establishment.View Full Paper PDF
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Working PaperIntegrated Longitudinal Employee-Employer Data for the United States
May 2004
Working Paper Number:
tp-2004-02
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Working PaperProductivity Adjustments and Learning-by-Doing as Human Capital
November 1997
Working Paper Number:
CES-97-17
This paper measures plant-level productivity gains associated with learning curves across the entire manufacturing sector. We measure these gains at plant startups and also after major employment changes. We find: 1.) The gains are strongly associated with a variety of human capital measures implying that learning-by-doing is largely a firm-specific human capital investment. 2.) This implicit investment is large; many plants invest as much in learning-by-doing as they invest in physical capital and much more than they invest in formal job training. 3.) This investment differs persistently over industries and is higher with greater R&D. 4.) Consistent with a learning-by-doing interpretation, the human capital investment is much larger following employment decreases than increases. We conclude that learning-by-doing is a major factor in wage determination, technical progress and asymmetric employment adjustment costs.View Full Paper PDF
