Measurement and Testing of Inequality from Time Series of Deciles with an Application to U.S. Wages

A-Tier
Journal: Review of Economics and Statistics
Year: 2003
Volume: 85
Issue: 1
Pages: 141-152

Authors (2)

Andrew Harvey (University of Cambridge) Jared Bernstein (not in RePEc)

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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. © 2003 President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Technical Details

RePEc Handle
repec:tpr:restat:v:85:y:2003:i:1:p:141-152
Journal Field
General
Author Count
2
Added to Database
2026-01-25