2013
DOI: 10.1007/s12651-013-0127-0
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The impact of temporary employment and employment protection on labour productivity: evidence from an industry-level panel of EU countries

Abstract: In recent years the availability of new industrylevel data allowed to evaluate the impact of labour market policies more consistently than previous standard crosscountry studies. In this paper an industry-level panel is exploited to evaluate the impact of Employment Protection Legislation (EPL) for temporary employment (TE), along with permanent employment (PE), in EU countries. Indeed, the advantage of using industry-level data is manifold. The method exploits both cross-country variation in EPL for PE and TE… Show more

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Cited by 13 publications
(18 citation statements)
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“…For instance, Auer et al (2005) find a positive relationship between job tenure and labour productivity. Similarly, in a panel of EU countries Lisi (2013) finds that an increase of the share of flexible jobs would lead to a decrease in labour productivity growth, even after controlling for the potential endogeneity of TE in the productivity equation.…”
Section: Previous Evidencementioning
confidence: 94%
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“…For instance, Auer et al (2005) find a positive relationship between job tenure and labour productivity. Similarly, in a panel of EU countries Lisi (2013) finds that an increase of the share of flexible jobs would lead to a decrease in labour productivity growth, even after controlling for the potential endogeneity of TE in the productivity equation.…”
Section: Previous Evidencementioning
confidence: 94%
“…In our empirical analysis, we modify earlier productivity equations in the literature (Bassanini and Venn 2008;Bassanini et al 2009;Lucidi and Kleinknecht 2010;Lisi 2013), adapting the model to estimate the differential impact of TE across sectors. Our starting point is that the impact of TE on productivity might not be homogenous across sectors and, in particular, we wonder if the effect differs according to sectors' skill intensity.…”
Section: Empirical Analysismentioning
confidence: 99%
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