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The Cost of Avoiding Crime: The Case of Bogotá

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Listed:
  • Alejandro Gaviria
  • Carlos Medina
  • Leonardo Morales
  • Jairo Nuñez

Abstract

We use hedonic price models to estimate the value households are willing to pay to avoid violent crime in the city of Bogotá. We find that households living in the highest socioeconomic level (stratum 6) pay up to 7.2% of their house values in order to prevent average homicide rates from increasing in one standard deviation. Households in stratum 5 pay up to 2.4% of their house values to prevent homicide rates from increasing. The results indicate the willingness to pay for security by households in Bogotá, and additionally, reveal that a pure public good like security, ends up creating urban private markets that auction security. These markets imply different levels of access to public goods among the population, and actually, the exclusion of the poorest. We find as well evidence of negative capitalization of the rate of attacks against life, and positive capitalization of the presence of police authority.

Suggested Citation

  • Alejandro Gaviria & Carlos Medina & Leonardo Morales & Jairo Nuñez, 2008. "The Cost of Avoiding Crime: The Case of Bogotá," Borradores de Economia 508, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:508
    DOI: 10.32468/be.508
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    Cited by:

    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. Carlos Medina & Leonardo Morales & Jairo Nuñez, 2008. "Quality of Life in Urban Neighborhoods in Colombia: The Cases of Bogotá and Medellín," Borradores de Economia 536, Banco de la Republica de Colombia.
    3. David M. Vetter & Kaizô I. Beltrão & Rosa M. R. Massena, 2013. "The Impact of the Sense of Security from Crime on Residential Property Values in Brazilian Metropolitan Areas," Research Department Publications IDB-WP-415, Inter-American Development Bank, Research Department.
    4. 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.
    5. Manfred Grautoff, Fernando Chavarro, Jazmín Balaguer, 2010. "Torneo criminal, aversión al riesgo y seguridad ciudadana: comportamiento criminal en Bogotá D.C," Revista CIFE, Universidad Santo Tomás, June.
    6. Carlos Augusto Olarte Bacares, 2014. "Criminality spread: a "Boomerang effect" of public transport improvements?," Post-Print halshs-00973408, HAL.
    7. Alejandro Gaviria & Carlos Medina & Jorge Andres Tamayo, 2010. "Assessing the Link between Adolescent Fertility and Urban Crime," Borradores de Economia 594, Banco de la Republica de Colombia.
    8. Enrique Javier Burbano Valencia & María Isabel Zafra Sanz, 2017. "Homicidio y precios de la tierra: un análisis espacial en Santiago de Cali," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, vol. 40(113), pages 147-159, Mayo.
    9. Carlos Medina & Christian Posso & Jorge Andrés Tamayo, 2011. "Costos de la violencia urbana y políticas públicas: algunas lecciones de Medellín," Borradores de Economia 9076, Banco de la Republica.
    10. Carlos Medina & Christian Posso & Jorge Andrés Tamayo, 2011. "Costos de la violencia urbana y políticas públicas: algunas lecciones de Medellín," Borradores de Economia 674, Banco de la Republica de Colombia.
    11. Escobedo, Francisco J. & Clerici, Nicola & Staudhammer, Christina L. & Feged-Rivadeneira, Alejandro & Bohorquez, Juan Camilo & Tovar, German, 2018. "Trees and Crime in Bogota, Colombia: Is the link an ecosystem disservice or service?," Land Use Policy, Elsevier, vol. 78(C), pages 583-592.
    12. Carlos Medina & Leonardo Morales & Jairo Nuñez, 2008. "Quality of Life in Urban Neighborhoods in Colombia:The Cases of Bogotá and Medellín," Borradores de Economia 5126, Banco de la Republica.

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    More about this item

    Keywords

    Housing Demand; Crime; Illegal Behavior; Law Enforcement.;
    All these keywords.

    JEL classification:

    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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