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Una propuesta de medición de daño del delito y su impacto sobre los precios de Airbnb en la Ciudad de Buenos Aires

Author

Listed:
  • Alejandro Norton

    (Universidad Nacional de Cuyo)

  • Marcos Herrera-Gomez

    (Universidad Nacional de Salta/CONICET)

Abstract

Usando información de hospedajes de Airbnb en la Ciudad de Buenos Aires, este trabajo analiza la relación entre las actividades delictivas y los precios de alquiler. El trabajo plantea un modelo hedónico que permite estimar el impacto de daño del delito controlando por otros factores (características del alojamiento y variables contextuales). Los principales aportes del trabajo pueden ser resumidos en tres partes. En primer lugar, se utiliza información geográfica para construir un indicador de daño del delito que pondera los tipos de delitos con respecto al daño producido por los mismos. En segundo lugar, el estudio reconoce el problema de la endogeneidad del delito y provee evidencia robusta sobre el impacto del delito en precios de Airbnb. En tercer lugar, el modelo principal incluye una corrección por dependencia espacial endógena en precios y por heteroscedasticidad espacial en el término de error. Nuestros resultados indican que los precios de los alojamientos son afectados negativamente por la actividad delictiva en el vecindario.

Suggested Citation

  • Alejandro Norton & Marcos Herrera-Gomez, 2020. "Una propuesta de medición de daño del delito y su impacto sobre los precios de Airbnb en la Ciudad de Buenos Aires," Working Papers 21, Red Nacional de Investigadores en Economía (RedNIE).
    • Handle: RePEc:aoz:wpaper:21
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    References listed on IDEAS

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    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Steve Gibbons, 2004. "The Costs of Urban Property Crime," Economic Journal, Royal Economic Society, vol. 114(499), pages 441-463, November.
    3. Belk, Russell, 2014. "You are what you can access: Sharing and collaborative consumption online," Journal of Business Research, Elsevier, vol. 67(8), pages 1595-1600.
    4. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    5. Yang, Yang & Mao, Zhenxing, 2020. "Location advantages of lodging properties: A comparison between hotels and Airbnb units in an urban environment," Annals of Tourism Research, Elsevier, vol. 81(C).
    6. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    7. Julie Le Gallo & Luc Anselin, 2006. "Interpolation of air quality measures in hedonic house price models: spatial aspects," Post-Print hal-00401242, HAL.
    8. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    10. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    11. Delores Conway & Christina Li & Jennifer Wolch & Christopher Kahle & Michael Jerrett, 2010. "A Spatial Autocorrelation Approach for Examining the Effects of Urban Greenspace on Residential Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 41(2), pages 150-169, August.
    12. Luc Anselin & Nancy Lozano-Gracia, 2009. "Spatial Hedonic Models," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 26, pages 1213-1250, Palgrave Macmillan.
    13. Vania Ceccato & Mats Wilhemson, 2011. "The impact of crime on apartment prices: evidence of Stockholm, Sweden," ERSA conference papers ersa10p1026, European Regional Science Association.
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    Keywords

    Precios Airbnb Índice de Daño del Delito Modelo Hedónico Espacial;

    JEL classification:

    • Z30 - Other Special Topics - - Tourism Economics - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • K14 - Law and Economics - - Basic Areas of Law - - - Criminal Law

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