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Sectoral Shifts in Europe and the United States: How They Affect Aggregate Labour Shares and the Properties of Wage Equations

Author

Listed:
  • Alain de Serres
  • Stefano Scarpetta
  • Christine de la Maisonneuve

Abstract

This paper sheds light on the importance of aggregation bias in the analysis of wage shares developments over time and across countries. We focus on five European countries and the United States and show that the trend decline in the aggregate wage share observed in these countries over much of the 1980s and 1990s partly reflects changes in the sectoral composition of the economy. The application of a fixed-weight aggregation method changes the profile of the observed wage share in a significant way: in particular there is no longer sign of an overshooting of the wage share levels of the early-1970s. Error-correction wage equations based on the adjusted wage shares generally have a better regression fit and show long-run elasticities of real wages to unemployment that vary less across countries and are substantially lower than those obtained with observed shares. These results are broadly confirmed by wage regressions using sectoral data and the Pooled Mean Group estimator ... Changements sectoriels en Europe et aux Etats-Unis : Impact sur les parts salariales globales et les propriétés des équations de salaire Cette étude examine l’importance du biais d’agrégation dans l’analyse de l’évolution des parts salariales au cours du temps et entre pays. L’étude couvre cinq pays européens ainsi que les Etats-Unis et montre que la baisse tendancielle de la part salariale agrégée observée dans ces pays durant la majeure partie des années 80 et 90 reflète en partie des changements dans la composition sectorielle de l’économie. L’application d’une méthode d’agrégation basée sur des poids fixes change de manière significative le profil des parts salariales observées: plus particulièrement, les parts salariales ainsi ajustées ne descendent plus en deçà du niveau du début des années 1970. Les équations de salaires à correction d’erreurs basées sur les parts salariales ajustées ont en général de meilleures propriétés statistiques et génèrent des élasticités de long-terme des salaires par rapport au niveau de chômage qui varient moins à travers les pays et qui sont significativement inférieures à celles obtenues à partir des parts observées. Ces résultats sont dans l’ensemble confirmés par les estimations d’équations de salaire basées sur des données sectorielles et l’estimateur de « pooled mean group ».

Suggested Citation

  • Alain de Serres & Stefano Scarpetta & Christine de la Maisonneuve, 2002. "Sectoral Shifts in Europe and the United States: How They Affect Aggregate Labour Shares and the Properties of Wage Equations," OECD Economics Department Working Papers 326, OECD Publishing.
  • Handle: RePEc:oec:ecoaaa:326-en
    DOI: 10.1787/763626062738
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    More about this item

    Keywords

    aggregation bias; biais d'aggrégation; part salariale; wage equations; wage shares; équation de salaire;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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