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Measuring wage inequality under right censoring

Author

Listed:
  • João Nicolau
  • Pedro Raposo
  • Paulo M. M. Rodrigues

Abstract

A conditional tail index estimator is introduced which explicitly allows for right‐tail censoring (top‐coding). We show that the factor values used to adjust top‐coded wages have changed over time and depend on individuals' characteristics, occupations and industries, and propose suitable values. Specifically, contrasting the results of our approach with those of a conservative fixed adjustment factor of 1.5 (used in the literature), suggests that wage inequality in 2017 measured with the Gini coefficient is larger than that suggested by the fixed adjustment factor.

Suggested Citation

  • João Nicolau & Pedro Raposo & Paulo M. M. Rodrigues, 2023. "Measuring wage inequality under right censoring," Economic Inquiry, Western Economic Association International, vol. 61(2), pages 377-401, April.
    • Handle: RePEc:bla:ecinqu:v:61:y:2023:i:2:p:377-401
    DOI: 10.1111/ecin.13119
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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