2012
DOI: 10.1007/s10888-012-9221-8
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The labour share of income: heterogeneous causes for parallel movements?

Abstract: Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces … Show more

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Cited by 17 publications
(16 citation statements)
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“…These findings appear to hold for other countries. Hogrefe and Kappler (2013) and Rada and Kiefer (2016) show similar results on the basis of econometric analysis for OECD countries. Unlike Elsby et al (2013), the latter authors also find that union density remains a fairly robust correlate of the labor share even when including an index of globalization.…”
Section: Discussion: Baumol Lewis and Stagnationsupporting
confidence: 57%
“…These findings appear to hold for other countries. Hogrefe and Kappler (2013) and Rada and Kiefer (2016) show similar results on the basis of econometric analysis for OECD countries. Unlike Elsby et al (2013), the latter authors also find that union density remains a fairly robust correlate of the labor share even when including an index of globalization.…”
Section: Discussion: Baumol Lewis and Stagnationsupporting
confidence: 57%
“…The estimator is part of the panel time‐series literature which emphasizes: (i) possible non‐stationarity of the processes; (ii) cross‐section dependence, that is, the possible correlation in the disturbances across sectors; and (iii) slope, not just group time‐invariant, parameter heterogeneity (Eberhardt, 2013). Like other mean group approaches (Pesaran, 2006; see Hogrefe and Kappler, 2013, for a specific application to the analysis of the labor share), the AMG estimator first estimates N group‐specific ordinary least‐squares regressions and then averages the estimated coefficients across groups. Cross‐sectional dependence is controlled for by the inclusion of a common dynamic effect, which in the AMG is obtained in the first step estimation of a pooled regression model augmented with year dummies, obtained by first difference ordinary least squares.…”
Section: Empirical Model and Econometric Methodsmentioning
confidence: 99%
“…Finally, overarching these microeconomic dynamics, technology-biased innovation and investment have been identifi ed by many authors as a cause of declining labor shares of income (in other words, as a cause of divergence between labor productivity and wages) across industries and countries (Hogrefe;Kappler, 2012;Bentolila;Saint Paul, 1999). In this analysis, capital-augmenting technical progress, such as the widespread adoption of computers from the 1990s onwards, may generate factor biases between capital and labor, with the degree of bias determined by activityspecifi c elasticities of substitution between factors (Karabarbounis;Neiman, 2013;Findlay;Jones, 1999;Feenstra;Hanson, 1999).…”
Section: Theoretical Interpretations Of Productivity-wage Relationshipmentioning
confidence: 99%