Correlating Social Mobility and Economic Outcomes

Maia Güell (), Michele Pellizzari, Giovanni Pica and Sevi Rodríguez Mora
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Maia Güell: University of Edinburgh, CEPR, FEDEA and IZA.

CSEF Working Papers from Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy

Abstract: We construct comparable measures of intergenerational mobility (IM) for 103 Italian provinces using the recent methodology of Güell, Rodríguez Mora and Telmer (2007; 2014) and explore their correlation with a variety of social and economic outcomes. We find that higher IM is positively associated with economic activity, education and social capital, and negatively correlated with inequality. Moreover, there is no clear pattern of correlation with other socio-political variables. These results are qualitatively similar to Chetty, Hendren, Kline, and Saez (2014), with the important difference that Italy is a highly centralized state where institutions and policies are ‘de jure’ the same in all provinces. This suggests that something beyond institutional and policy differences also shapes intergenerational mobility.

Keywords: Surnames; intergenerational mobility; cross-sectional data analysis. (search for similar items in EconPapers)
JEL-codes: C31 E24 R10 (search for similar items in EconPapers)
Date: 2015-03-07, Revised 2016-07-27
New Economics Papers: this item is included in nep-dem, nep-ltv and nep-mac
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Citations: View citations in EconPapers (2)

Published in The Economic Journal, 2018, 128(612), pp. F353-F403

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Related works:
Journal Article: Correlating Social Mobility and Economic Outcomes (2018)
Working Paper: Correlating Social Mobility and Economic Outcomes (2015)
Working Paper: Correlating Social Mobility and Economic Outcomes (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:sef:csefwp:394

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