Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Kevin L. McKinney"'
Publikováno v:
Quantitative Economics. 13:1879-1945
This paper is part of the Global Repository of Income Dynamics (GRID) project cross‐country comparison of earnings inequality, volatility, and mobility. Using data from the U.S. Census Bureau's Longitudinal Employer‐Household Dynamics (LEHD) infr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78ea6f4fac017629ecc6239ea69fad9d
https://doi.org/10.3982/qe1908
https://doi.org/10.3982/qe1908
Autor:
Kevin L. McKinney, John M. Abowd
This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4fc9e658cae265801ecb3d982f586c
http://arxiv.org/abs/2008.00253
http://arxiv.org/abs/2008.00253
We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b29821294896b6c298aaff6a372893f
Publikováno v:
Journal of Business & Economic Statistics. 37:405-418
We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and firm-specific earnings heterogeneity using longitudinally linked employer–employee data from the LEHD infrastructure file system of the U.S. Census Bureau.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b057b16837c1b40f1be8ada301f0a7c
https://doi.org/10.1080/07350015.2017.1356727
https://doi.org/10.1080/07350015.2017.1356727
Publikováno v:
Journal of Labor Economics. 36:S183-S300
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 us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ec1fc445eac0081fe4c26f79f2f5d9f
https://doi.org/10.1086/694104
https://doi.org/10.1086/694104
Publikováno v:
Journal of Privacy and Confidentiality. 9
The U.S. Census Bureau recently released data on earnings percentiles of graduates from post-secondary institutions. This paper describes and evaluates the disclosure avoidance system developed for these statistics. We propose a differentially privat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c94ea475997b271d0a1ed79166d803
https://doi.org/10.29012/jpc.722
https://doi.org/10.29012/jpc.722
Autor:
Kevin L. McKinney, John M. Abowd
Publikováno v:
Statistical Journal of the IAOS. 32:127-135
We use the bipartite graph representation of longitudinally linked em-ployer-employee data, and the associated projections onto the employer and em-ployee nodes, respectively, to characterize the set of potential statistical summar-ies that the trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d006d28933d5e5aa130c97be350a9ea7
https://doi.org/10.3233/sji-160958
https://doi.org/10.3233/sji-160958
Publikováno v:
Oxford Bulletin of Economics and Statistics. 71:91-110
The ‘fractal’ nature of the rise in earnings dispersion is one of its key features. In this paper, we offer a new perspective on the causes of changes in earnings dispersion, focusing on the role of labour reallocation. We set out a framework sho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3b7928f9d55f3c0f83df9b810180efc
https://doi.org/10.1111/j.1468-0084.2008.00519.x
https://doi.org/10.1111/j.1468-0084.2008.00519.x
Publikováno v:
Journal of Business & Economic Statistics. 25:299-313
Information on firm dynamics is critical to understanding economic activity, yet is fundamentally difficult to measure. In this article we introduce a new way of capturing dynamics: following clusters of workers as they move across administrative ent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80e24ac670c6bcb60ac3a6627daef628
https://doi.org/10.1198/073500106000000620
https://doi.org/10.1198/073500106000000620