2002
DOI: 10.2139/ssrn.307425
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Sectoral Shifts in Europe and the United States: How they Affect Aggregate Labour Shares and the Properties of Wage Equations

Abstract: Document complet disponible sur OLIS dans son format d'origine Complete document available on OLIS in its original format ECO/WKP(2002)12 Unclassified English text only ECO/WKP(2002)12 2 ABSTRACT/RÉSUMÉ Sectoral shifts in Europe and the United States: How they affect aggregate labour shares and the properties of wage equationsThis 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… Show more

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Cited by 44 publications
(35 citation statements)
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“…This lack of interest in the relationship between the factor distribution of income and personal income inequality is most likely due to the wellestablished belief among economists that the shares of capital and labour are constant over time and across countries. Yet, as was argued by Solow (1958) and has been shown by recent work, this is far from being the case (see Blanchard,1997;de Serres et al, 2002;Daudey, 2005). Then, if the labour share varies across countries and over time, it is a candidate explanation for differences in the personal distribution of income.…”
Section: Introductionmentioning
confidence: 92%
“…This lack of interest in the relationship between the factor distribution of income and personal income inequality is most likely due to the wellestablished belief among economists that the shares of capital and labour are constant over time and across countries. Yet, as was argued by Solow (1958) and has been shown by recent work, this is far from being the case (see Blanchard,1997;de Serres et al, 2002;Daudey, 2005). Then, if the labour share varies across countries and over time, it is a candidate explanation for differences in the personal distribution of income.…”
Section: Introductionmentioning
confidence: 92%
“…De Serres, Scarpetta, and De La Maisonneuve (2002) upgraded the sectoral panel data methodology. They study the share of wages in the total income for five European countries and the United States using pooled time series and cross-section data and imposing partial heterogeneity by means of the Pesaran, Shin, and Smith's (1999) pooled mean group (PMG) estimator.…”
Section: Labor Reallocation and Regionsmentioning
confidence: 99%
“…FE approaches, while convenient, substantially restrict the nature of heterogeneity and fail to take into account potential common factors effects across individuals and the potential interdependence of the individual units (Baltagi 2008, chapter 12;Pesaran 2015b). De Serres, Scarpetta, andDe La Maisonneuve (2002) extend the methodology to the PMG estimator, which is only an intermediate heterogeneous estimator. Simon (2014) explored the relationship between unemployment and sectoral change across U.S. states during the Great Recession using Neumann and Topel's (1991) dispersion measure in a random effects model.…”
Section: Labor Reallocation and Regionsmentioning
confidence: 99%
“…Other models have in fact included a larger number of institutions and aggregate unemployment rates to capture aggregate shifts in (1) (e.g. De Serres et al 2002). The reason why few controls are included in Bentolila and Saint-Paul's model comes from the fact that GMM estimators become unstable when the number of covariates increases (or more precisely when the number of instruments trespasses the number of groups).…”
Section: Empirical Strategymentioning
confidence: 99%