Wage Mobility In The United States
AbstractThis paper examines the mobility of individuals through the wage and earnings distributions, using 1979-1991 data from the National Longitudinal Survey of Youth. Lifetime wages will be more equally distributed than wages from any single year if individuals change position in the wage distribution over time. The results suggest that mobility is predominantly within group mobility, reducing wage inequality by 12%-26% over a four-year horizon. A detailed examination of within-group mobility, using year-to-year estimates of transition probabilities among quintiles of the distribution, reveals similar general patterns across all skill groups: mobility declined significantly over the years, especially at the lower end of the wage and earnings distributions. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by MIT Press in its journal The Review of Economics and Statistics.
Volume (Year): 81 (1999)
Issue (Month): 3 (August)
Contact details of provider:
Web page: http://mitpress.mit.edu/journals/
Other versions of this item:
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Bound & Alan B. Krueger, 1989.
"The Extent of Measurement Error In Longitudinal Earnings Data: Do Two Wrongs Make A Right?,"
NBER Working Papers
2885, National Bureau of Economic Research, Inc.
- Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
- MaCurdy, Thomas E., 1982. "The use of time series processes to model the error structure of earnings in a longitudinal data analysis," Journal of Econometrics, Elsevier, vol. 18(1), pages 83-114, January.
- Abowd, John M & Card, David, 1989.
"On the Covariance Structure of Earnings and Hours Changes,"
Econometric Society, vol. 57(2), pages 411-45, March.
- John M. Abowd & David Card, 1986. "On the Covariance Structure of Earnings and Hours Changes," NBER Working Papers 1832, National Bureau of Economic Research, Inc.
- Jonathan Morduch & Terry Sicular, 2002.
"Rethinking Inequality Decomposition, With Evidence from Rural China,"
Royal Economic Society, vol. 112(476), pages 93-106, January.
- Jonathan Morduch & Terry Sicular, 1998. "Rethinking Inequality Decomposition, with Evidence from Rural China," Harvard Institute of Economic Research Working Papers 1831, Harvard - Institute of Economic Research.
- Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July.
- Lee A. Lillard & Robert J. Willis, 1976.
"Dynamic Aspects of Earnings Mobility,"
NBER Working Papers
0150, National Bureau of Economic Research, Inc.
- Shorrocks, Anthony F, 1984. "Inequality Decomposition by Population Subgroups," Econometrica, Econometric Society, vol. 52(6), pages 1369-85, November.
- Maasoumi, Esfandiar & Zandvakili, Sourushe, 1990. "Generalized entropy measures of mobility for different sexes and income levels," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 121-133.
- Levy, Frank & Murnane, Richard J, 1992. "U.S. Earnings Levels and Earnings Inequality: A Review of Recent Trends and Proposed Explanations," Journal of Economic Literature, American Economic Association, vol. 30(3), pages 1333-81, September.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Karie Kirkpatrick).
If references are entirely missing, you can add them using this form.