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 der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: This paper investigates the importance of the shape of the income distribution as a determinant of economic growth in a panel of countries. Using comparable data on disposable income from the Luxembourg Income Study, results show that aggregate inequality measures, such as Gini coefficients, can mask key features of the relationship between inequality and growth. In particular, inequality at the top end and bottom end of the distribution appear to have opposite effects on growth. This finding supports the argument that the profile of the income distribution, and not only its spread, helps define the impact of inequality on growth. Terms of use: Documents in EconStor may

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This paper explores the importance of occupational downgrading in explaining the pay gap of New Member States (NMS) immigrants to Ireland by taking advantage of two data sources, the Census and the Survey on Income and Living Conditions (SILC). The study identifies biases in the coverage of NMS immigrants in SILC that dampen their estimated earnings disadvantage. Corrections to population weights are suggested. These adjustments have a significant impact on results, increasing both the size of the wage penalty of NMS immigrants and the extent to which the pay gap can be explained by occupational downgrading. A replication of published results for the UK reveals similar patterns of penalties for NMS workers in both countries. Factors that may explain the concentration of NMS workers in low‐skill/low‐wage occupations are discussed.

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