2008
DOI: 10.2139/ssrn.1424847
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Migration, the Quality of the Labour Force and Economic Inequality

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 12 publications
(9 citation statements)
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“…As potential covariates we considered aggregate and female labour force participation rates, aggregate and female unemployment rates, share of the population between 15 and 64 years of age, labour force in the agricultural sector, share of the government in the economy, gross domestic product and inflation rate, as well as a number of controls for the character and quality of the data on Gini coefficient, year, and country. A regression analysis by Kahanec and Zimmermann (2008) confirms that the observed decreasing and U-shaped relationship is robust and significant over a number of model specifications, including models with weighing by data quality and country size, clustering, and random and fixed country effects. The estimated coefficients predict the minimum of the U-shaped relationship between the share of skilled labour and the Gini coefficient to lie at about 75% of the labour force with upper secondary or higher education and 65% of the labour force with post secondary or higher education.…”
mentioning
confidence: 61%
“…As potential covariates we considered aggregate and female labour force participation rates, aggregate and female unemployment rates, share of the population between 15 and 64 years of age, labour force in the agricultural sector, share of the government in the economy, gross domestic product and inflation rate, as well as a number of controls for the character and quality of the data on Gini coefficient, year, and country. A regression analysis by Kahanec and Zimmermann (2008) confirms that the observed decreasing and U-shaped relationship is robust and significant over a number of model specifications, including models with weighing by data quality and country size, clustering, and random and fixed country effects. The estimated coefficients predict the minimum of the U-shaped relationship between the share of skilled labour and the Gini coefficient to lie at about 75% of the labour force with upper secondary or higher education and 65% of the labour force with post secondary or higher education.…”
mentioning
confidence: 61%
“…Using data on immigration to OECD countries, Kahanec and Zimmermann (2008) provide empirical evidence on the positive relationship between high-skilled immigration and economic equality in the destination countries. In addition, it is known that immigration may alleviate the demographic burden and, especially skilled immigration, may relieve the pressure placed due to an ageing population in the old EU15 (see Bonin et al, 2000 for an analysis of the fiscal impact of earlier immigration in Germany).…”
Section: A the Destination Countriesmentioning
confidence: 99%
“…The distributional effects of international migration are essential, one of its major repercussions consisting of a significant change in the size and structure (skills) of the labour force in both the sending and receiving economies. The effects are amplified when there is an associated change in skills distribution among the labour force [18]. For example, this is the case in a country confronted with large immigration inflows with an average qualification level higher (or lower) than that of native workers.…”
Section: Introductionmentioning
confidence: 99%