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The Influence of Neighborhood Characteristics on Wages and Labor Supply in an Urban Context: The Case of a Latin-American City

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  • Leonardo Fabio Morales
  • Lina Cardona-Sosa

Abstract

Using data from Medellín, second largest city in Colombia, we asses in this paper how a set of neighborhood characteristics determines wages and labor supply for workers in the city. We use GIS data to construct measures of the quality of environments where workers live. This paper focuses in the impact in labor supply and wages of the following set of characteristics: availability of public transportation, crime levels and density of economic activity. The empirical methodology consist of the estimation of linear equations for wages and worked hours, and we control for the selection of individuals into the neighborhoods they are observed. In order to do this we estimate in a first stage a probabilistic model of neighborhood selection from which selection correction terms are obtained; these correction terms and included in the linear equations for wage and worked hours in a second stage. In addition, we control for sample selection as well. We find that the endogeneity of the location decision tends to overestimate the magnitude of the effect of neighborhood characteristics on labor market outcomes. Nevertheless, the effect of some characteristics is still significant and important after we control for the possibility of selection into neighborhoods.

Suggested Citation

  • Leonardo Fabio Morales & Lina Cardona-Sosa, 2014. "The Influence of Neighborhood Characteristics on Wages and Labor Supply in an Urban Context: The Case of a Latin-American City," Borradores de Economia 844, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:844
    DOI: 10.32468/be.844
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    References listed on IDEAS

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    1. Carlos Medina & Jorge Andrés Tamayo, 2011. "An Assessment of How Urban Crime and Victimization Affects Life Satisfaction," Borradores de Economia 640, Banco de la Republica de Colombia.
    2. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    3. Leonardo Fabio Morales, 2015. "Peer Effects on a Fertility Decision: an Application for Medellín, Colombia," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 119-159, February.
    4. Dujardin, Claire & Goffette-Nagot, Florence, 2010. "Neighborhood effects on unemployment?: A test à la Altonji," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 380-396, November.
    5. Zenou, Yves, 2002. "How do firms redline workers?," Journal of Urban Economics, Elsevier, vol. 52(3), pages 391-408, November.
    6. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    7. Zenou, Yves & Boccard, Nicolas, 2000. "Racial Discrimination and Redlining in Cities," Journal of Urban Economics, Elsevier, vol. 48(2), pages 260-285, September.
    8. Lall, Somik V. & Mengistae, Taye, 2005. "The impact of business environment and economic geography on plant-level productivity : an analysis of Indian industry," Policy Research Working Paper Series 3664, The World Bank.
    9. Bruce A. Weinberg & Patricia B. Reagan & Jeffrey J. Yankow, 2004. "Do Neighborhoods Affect Hours Worked? Evidence from Longitudinal Data," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 891-924, October.
    10. Carlos Medina & Jorge Andrés Tamayo & Christian Posso, 2013. "The Effect of Adult Criminals’ Spillovers On the Likelihood of Youths Becoming Criminals," Borradores de Economia 755, Banco de la Republica de Colombia.
    11. Harry J. Holzer, 1991. "The Spatial Mismatch Hypothesis: What Has the Evidence Shown?," Urban Studies, Urban Studies Journal Limited, vol. 28(1), pages 105-122, February.
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    1. Leonardo Fabio Morales & Lina Cardona-Sosa, 2015. "Calidad de los vecindarios y oferta laboral femenina en un contexto urbano: un caso aplicado a la ciudad de Medellín," Borradores de Economia 12588, Banco de la Republica.

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    More about this item

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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