Measurement and Testing of Inequality from Time Series of Deciles with an Application to U.S. Wages
- 1 February 2003
- journal article
- research article
- Published by MIT Press in The Review of Economics and Statistics
- Vol. 85 (1) , 141-152
- https://doi.org/10.1162/003465303762687767
Abstract
This article uses unobserved-components time series models to capture the underlying trends in the quarterly deciles of U.S. hourly wages. Tests of stability and divergence are developed as a means of assessing changes in inequality. The decrease in the wage gender gap is examined, and the impact of changes in the minimum wage is assessed.All Related Versions
This publication has 9 references indexed in Scilit:
- Testing against smooth stochastic trendsJournal of Applied Econometrics, 2001
- Signal extraction and the formulation of unobserved components modelsThe Econometrics Journal, 2000
- TESTS OF COMMON STOCHASTIC TRENDSEconometric Theory, 2000
- Wage Inequality in the United States During the 1980s: Rising Dispersion or Falling Minimum Wage?The Quarterly Journal of Economics, 1999
- Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric ApproachEconometrica, 1996
- Detrending, stylized facts and the business cycleJournal of Applied Econometrics, 1993
- Testing the null hypothesis of stationarity against the alternative of a unit rootJournal of Econometrics, 1992
- Estimation and Seasonal Adjustment of Population Means Using Data from Repeated SurveysJournal of Business & Economic Statistics, 1991
- Comparisons of Tests for the Presence of Random Walk Coefficients in a Simple Linear ModelJournal of the American Statistical Association, 1983