IDEAS home Printed from https://ideas.repec.org/p/aep/anales/4358.html
   My bibliography  Save this paper

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
  • Marcos Herrera-Gomez

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," Asociación Argentina de Economía Política: Working Papers 4358, Asociación Argentina de Economía Política.
    • Handle: RePEc:aep:anales:4358
    as

    Download full text from publisher

    File URL: https://aaep.org.ar/works/works2020/Herrera.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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).
    5. 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.
    6. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    7. 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..
    8. Luc Anselin & Julie Le Gallo, 2006. "Interpolation of air quality measures in hedonic house price models : spatial aspects," Post-Print hal-00485017, HAL.
    9. 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.
    10. Steve Gibbons, 2004. "The Costs of Urban Property Crime," Economic Journal, Royal Economic Society, vol. 114(499), pages 441-463, November.
    11. Vania Ceccato & Mats Wilhemson, 2011. "The impact of crime on apartment prices: evidence of Stockholm, Sweden," ERSA conference papers ersa10p1026, European Regional Science Association.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
    2. Seya, Hajime & Yamagata, Yoshiki & Tsutsumi, Morito, 2013. "Automatic selection of a spatial weight matrix in spatial econometrics: Application to a spatial hedonic approach," Regional Science and Urban Economics, Elsevier, vol. 43(3), pages 429-444.
    3. repec:asg:wpaper:1006 is not listed on IDEAS
    4. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    5. Stefan Felder & Harald Tauchmann, 2013. "Federal state differentials in the efficiency of health production in Germany: an artifact of spatial dependence?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 21-39, February.
    6. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff‐Ord‐Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614, May.
    7. Gupta, Abhimanyu, 2019. "Estimation Of Spatial Autoregressions With Stochastic Weight Matrices," Econometric Theory, Cambridge University Press, vol. 35(2), pages 417-463, April.
    8. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    9. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    10. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2018. "Generalized spatial autocorrelation in a panel-probit model with an application to exporting in China," Empirical Economics, Springer, vol. 55(1), pages 193-211, August.
    11. Liu, Shew Fan & Yang, Zhenlin, 2015. "Modified QML estimation of spatial autoregressive models with unknown heteroskedasticity and nonnormality," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 50-70.
    12. repec:asg:wpaper:1045 is not listed on IDEAS
    13. Ben Hoen & Jason Brown & Thomas Jackson & Mark Thayer & Ryan Wiser & Peter Cappers, 2015. "Spatial Hedonic Analysis of the Effects of US Wind Energy Facilities on Surrounding Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 51(1), pages 22-51, July.
    14. Bivand, Roger & Piras, Gianfranco, 2015. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i18).
    15. repec:esx:essedp:772 is not listed on IDEAS
    16. Paul Feichtinger & Klaus Salhofer, 2016. "The Fischler Reform of the Common Agricultural Policy and Agricultural Land Prices," Land Economics, University of Wisconsin Press, vol. 92(3), pages 411-432.
    17. Rabovič, Renata & Čížek, Pavel, 2023. "Estimation of spatial sample selection models: A partial maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 232(1), pages 214-243.
    18. Pesaran, M. Hashem & Tosetti, Elisa, 2011. "Large panels with common factors and spatial correlation," Journal of Econometrics, Elsevier, vol. 161(2), pages 182-202, April.
    19. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.
    20. Harald Badinger & Peter Egger, 2015. "Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(1), pages 11-35, March.
    21. Minmeng Tang & Deb Niemeier, 2021. "How Does Air Pollution Influence Housing Prices in the Bay Area?," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    22. Louren�o S. Paz, 2014. "Inter-industry Productivity Spillovers: An Analysis Using the 1989-1998 Brazilian Trade Liberalisation," Journal of Development Studies, Taylor & Francis Journals, vol. 50(9), pages 1261-1274, September.
    23. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.

    More about this item

    Keywords

    Precios Airbnb; Índice de Daño del Delito; Modelo Hedónico Espacial;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aep:anales:4358. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Juan Manuel Quintero (email available below). General contact details of provider: https://edirc.repec.org/data/aaeppea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.