Spatial mismatch, wages and unemployment in metropolitan areas in Brazil

Autor: Haddad, Eduardo Amaral, Barufi, Ana Maria Bonomi
Rok vydání: 2017
Předmět:
Städtebau
Raumplanung
Landschaftsgestaltung
Soziologie
Anthropologie
Wirtschaft
Landscaping and area planning
Sociology & anthropology
Economics
Raumplanung und Regionalforschung
Wirtschaftssoziologie
Arbeitsmarktforschung
Allgemeine Soziologie
Makrosoziologie
spezielle Theorien und Schulen
Entwicklung und Geschichte der Soziologie
Siedlungssoziologie
Stadtsoziologie
Area Development Planning
Regional Research
Sociology of Economics
Labor Market Research
General Sociology
Basic Research
General Concepts and History of Sociology
Sociological Theories
Sociology of Settlements and Housing
Urban Sociology
Brasilien
regionale Entwicklung
Raum
soziale Ungleichheit
Einkommen
Einkommensunterschied
Arbeitslosigkeit
Ballungsgebiet
Stadt
Arbeitsmarkt
Brazil
regional development
zone
social inequality
income
difference in income
unemployment
agglomeration area
town
labor market
Zdroj: Region: the journal of ERSA, 4, 3, 175-200
Druh dokumentu: Zeitschriftenartikel<br />journal article
ISSN: 2409-5370
DOI: 10.18335/region.v4i3.171
Popis: The spatial mismatch hypothesis states that a lack of connection to job opportunities may affect an individual's prospects in the labour market, especially for low-skilled workers. This phenomenon is especially observed in large urban areas, in which low-skilled minorities tend to live far away from jobs and face geographical barriers to finding and keeping jobs. This paper aims to investigate whether this negative relationship between spatial mismatch and labour market outcomes is valid in Brazil after controlling for individual characteristics. Our conclusions indicate that there is no clear relation between different measures of accessibility to jobs and the probability of being unemployed. However, for wages there is a clear correlation, which is stronger in larger metropolitan areas in the country. Given the exploratory nature of this work, our results still rely on strong identification hypotheses to avoid potential bias related to simultaneous location decisions of workers and firms within the city. Even if these conditions do not hold, the results are still meaningful as they provide a better understanding of the conditional distribution of wages and the unemployment rate in the biggest metropolitan areas of Brazil.
Databáze: SSOAR – Social Science Open Access Repository
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