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Correlating Social Mobility and Economic Outcomes CANCELLED!!!
We apply a novel measure of intergenerational mobility (IM) developed by Güell, Rodríguez Mora, and Telmer (2014) to a rich combination of Italian data allowing us to produce comparable measures of IM of income for 103 Italian provinces. We then exploit the large heterogeneity across Italian provinces in terms of economic and social outcomes to explore how IM correlates with a variety of outcomes. We find that (i) higher IM is positively associated with a variety of “good” economic outcomes, such as higher value added per capita, higher employment, lower unemployment, higher schooling and higher openness and (ii) that also within Italy the “the Great Gatsby Curve” exists: in provinces in which mobility is lower cross-sectional income inequality is larger. We finally explore the correlation between IM and several socio-political outcomes, such as crime and life expectancy, but we do not find any clear systematic relationship on this respect.
Maia Güell received her PhD in Economics at the London School of Economics in 2000. Right after graduate school, she was a visiting lecturer at Princeton University and then moved to Universitat Pompeu Fabra, where she was first an Assistant Professor and then an Associate Professor (with tenure). In 2007, she was appointed Professor of Economics at the University of Edinburgh. She is also a Research Affiliate in the Labour Economics Programme of CEPR, the Center for Economic Performance at the LSE and IZA. Since 2008, she is an Elected Executive Committee Member of the European Association of Labour Economists. Maia's research interests are in theoretical and empirical labour economics
IRVAPP/Fondazione Bruno Kessler - Via Santa Croce 77 - Trento