Urban inequality / Edward L. Glaeser, Matthew G. Resseger, Kristina Tobio.
Material type:
TextSeries: Working paper series (National Bureau of Economic Research) ; no. 14419.Publication details: Cambridge, Mass. : National Bureau of Economic Research, 2008Description: 62 p. : ill. ; 22 cmSubject(s): Urban economics | Income distributionLOC classification: HB1 | .N38 no. 14419Online resources: Click here to access online Summary: What impact does inequality have on metropolitan areas? Crime rates are higher in places with more inequality, and people in unequal cities are more likely to say that they are unhappy. There is also a negative association between local inequality and the growth of both income and population, once we control for the initial distribution of skills. What determines the degree of inequality across metropolitan areas? Twenty years ago, metropolitan inequality was strongly associated with poverty, but today, inequality is more strongly linked to the presence of the wealthy. Inequality in skills can explain about one third of the variation in income inequality, and that skill inequality is itself explained by historical schooling patterns and immigration. There are also substantial differences in the returns to skill, related to local concentrations in different industries, and these too are strongly correlated with inequality.
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University of Macedonia Library Βιβλιοστάσιο Β (Stack Room B) | Research Papers | HB1.N38 no. 14419 (Browse shelf (Opens below)) | 1 | Available | 0013119171 |
Includes bibliographical references (p. 35-37).
What impact does inequality have on metropolitan areas? Crime rates are higher in places with more inequality, and people in unequal cities are more likely to say that they are unhappy. There is also a negative association between local inequality and the growth of both income and population, once we control for the initial distribution of skills. What determines the degree of inequality across metropolitan areas? Twenty years ago, metropolitan inequality was strongly associated with poverty, but today, inequality is more strongly linked to the presence of the wealthy. Inequality in skills can explain about one third of the variation in income inequality, and that skill inequality is itself explained by historical schooling patterns and immigration. There are also substantial differences in the returns to skill, related to local concentrations in different industries, and these too are strongly correlated with inequality.
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