Spatial mismatch, wages and unemployment in metropolitan areas in Brazil

Authors

  • Ana Maria Bonomi Barufi The University of São Paulo Regional and Urban Economics Lab
  • Eduardo Amaral Haddad Department of Economics, University of São Paulo

DOI:

https://doi.org/10.18335/region.v4i3.171

Keywords:

Spatial Mismatch, Labour Market, Metropolitan Areas

Abstract

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.

References

Andersson, F, Haltiwanger, JC, Kutzbach, MJ, Pollakowsky, HO, Weinberg, DH (2014) Job displacement and the duration of joblessness: the role of spatial mismatch. NBER Working Paper Series, WP 20066, April.

Åslund, O, Östh, J, Zenou, Y (2010) How important is access to jobs? Old question – improved answer. Journal of Economic Geography, 10: 389-422.

Bruekner, JK, Thisse, JF, Zenou, Y (2002) Local labor markets, job matching, and urban location. International Economic Review, 43(1): 155-171.

Bruzelius, N (1979) The Value of Travel Time. Croom Helm, London.

Di Paolo, A, Matas, A, Raymond, JL (2016) Job accessibility and job-education mismatch in the metropolitan area of Barcelona. Papers in Regional Science, online version, doi:10.1111/pirs.12179.

Gibb, K, Osland, L, Pryce, G (2014) Describing inequalities in access to employment and the associated geography of wellbeing. Urban Studies, 51(3): 596-613.

Gobillon, L, Selod, H (2013) Spatial mismatch, poverty, and vulnerable populations. In: Fischer, MM, Nijkamp, P (eds.) Handbook of Regional Science, Springer Heidelberg, New York, 93-107.

Gobillon, L, Selod, H, Zenou, Y, (2007) The mechanisms of spatial mismatch. Urban Studies, 44(12): 2401-2427.

Haddad, EA, Barufi, AMB (2016) From rivers to roads: spatial mismatch and inequality of opportunity in urban labor markets of a megacity. NEREUS Working Paper Series, n. 09-2016.

Houston, D (2005a). Employability, skills mismatch and spatial mismatch in metropolitan labour markets. Urban Studies, 42(2): 221-243.

Houston, D (2005b) Methods to test the spatial mismatch hypothesis. Economic Geography, 81(4): 407-434.

Hu, L (2014) Changing job access of the poor: effects of spatial and socioeconomic transformations in Chicago, Urban Studies, 51(4): 675-692.

Hu, L, Giuliano, G (2014) Poverty concentration, job access, and employment outcomes. Journal of Urban Affairs, online version, DOI: 10.1111/juaf.12152

Ihlanfeldt, KR (2006) A primer on spatial mismatch within urban labor markets. In: Arnott, RJ, McMillen, DP (eds.) A Companion to Urban Economics, Blackwell Publishing Ltd., 404-417.

Ihlanfeldt, KR, Sjoquist, DL (1998) The spatial mismatch hypothesis: a review of recent studies and their implications for welfare reform, Housing Policy Debate, 9(4): 849–892.

Kain, JF (1968) Housing segregation, negro employment, and metropolitan decentralization. Quarterly Journal of Economics 82: 32–59.

Lucas Jr, RE, Rossi-Hansberg, E (2002) On the internal structure of cities. Econometrica. 70(4): 1445-1476.

Morrison, PS (2005) Unemployment and urban labour markets. Urban Studes, 42(1): 2261-2288.

Ottaviano, G (2004) Chapter 58 – Agglomeration and economic geography. In: Henderson, JV, Thisse, JF (eds.) Handbook of Regional and Urban Economics, Volume 4, Elsevier, 2563-2608.

Partridge, M, Rickman, DS, Ali, K, Rose-Olfert, M (2009) Agglomeration spillovers and wage and housing cost gradients across the urban hierarchy. Journal of International Economics. 78: 126-140.

Roback, J (1982) Wages, rents and the quality of life. Journal of Political Economy. 90(6): 1257-1278.

Tyndall, J (2015) Waiting for the R train: public transportation and employment. Urban Studies, available online, doi: 10.1177/0042098015594079.

Vieira, R, Haddad, EA (2015) An Accessibility Index for the Metropolitan area of São Paulo In: Kourtit, K, Nijkamp, P, Stough; RR (eds.), The Rise of the City: Spatial Dynamics in the Urban Century, Cheltenham, UK: Edward Elgar Publishing, 242-258.

Zenou, Y (2013). Spatial versus social mismatch. Journal of Urban Economics. 74: 113-132.

________ (2009) Urban Labor Economics. Cambridge University Press, New York, 1st edition.

________ (2006) Efficiency wages and unemployment in cities: the case of high-relocation costs. Regional Science and Urban Economics, 36: 49-71.

________ (2000) Urban unemployment, agglomeration and transportation policies. Journal of Public Economics, 77: 97-133.

________ (1999) Unemployment in cities. In: Huriot, JM, Thisse, JF (eds.), Economics of Cities, Cambridge University Press, Cambridge, 343–389.

Downloads

Published

2017-12-21

How to Cite

Barufi, A. M. B. and Haddad, E. A. (2017) “Spatial mismatch, wages and unemployment in metropolitan areas in Brazil”, REGION. Vienna, Austria, 4(3), pp. 175–200. doi: 10.18335/region.v4i3.171.

Issue

Section

Articles
Share