IDEAS home Printed from https://ideas.repec.org/p/aep/anales/4317.html
   My bibliography  Save this paper

El impacto de las variaciones del tipo de cambio sobre el valor de la tierra urbana. ¿El mercado inmobiliario está totalmente dolarizado?

Author

Listed:
  • María Emilia Bullano

Abstract

El objetivo del presente artículo es determinar el efecto que una variación en el tipo de cambio nominal tiene sobre el valor por metro cuadrado de la tierra urbana medida en pesos argentinos, y cómo este efecto se distribuye en el espacio. Es decir, se busca estimar la elasticidad del valor por metro cuadrado en pesos de la tierra frente a variaciones en el tipo de cambio nominal. A partir de técnicas de econometría espacial, aplicadas sobre una muestra de 2.341 observaciones de la Ciudad de Córdoba correspondientes al periodo 2017-2019, se estimaron dos modelos SAC (Spatial Autoregressive Confused), uno considerando un efecto constante del tipo de cambio en el espacio y otro contemplando diez diferentes valores de elasticidades aplicables a diferentes sectores de la Ciudad. El modelo que contempla heterogeneidad espacial presenta el mejor ajuste de ambos, avalando la hipótesis planteada, en dónde el sector inmobiliario más dinámico de la ciudad exhibe una elasticidad igual a 1.16, mientras que el sector menos atractivo para la generación de desarrollos inmobiliarios muestra una elasticidad igual a 0.34. Los resultados obtenidos son relevantes como instrumento de política pública para la actualización de los valores catastrales de la tierra urbana, generando efectos directos sobre la equidad del impuesto inmobiliario (y potencialmente sobre el impuesto a los bienes personales).

Suggested Citation

  • María Emilia Bullano, 2020. "El impacto de las variaciones del tipo de cambio sobre el valor de la tierra urbana. ¿El mercado inmobiliario está totalmente dolarizado?," Asociación Argentina de Economía Política: Working Papers 4317, Asociación Argentina de Economía Política.
  • Handle: RePEc:aep:anales:4317
    as

    Download full text from publisher

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

    References listed on IDEAS

    as
    1. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411.
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. Marcos Herrera Gomez, 2015. "Econometría espacial usando Stata. Breve guía aplicada para datos de corte transversal," Working Papers 13, Instituto de Estudios Laborales y del Desarrollo Económico (IELDE) - Universidad Nacional de Salta - Facultad de Ciencias Económicas, Jurídicas y Sociales.
    4. P Burridge, 1981. "Testing for a Common Factor in a Spatial Autoregression Model," Environment and Planning A, , vol. 13(7), pages 795-800, July.
    5. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    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. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    2. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    3. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    4. Lawrence A. Plummer & Zoltán J. Ács, 2015. "Localized competition in the knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 8, pages 145-160, Edward Elgar Publishing.
    5. Emediegwu, Lotanna E. & Wossink, Ada & Hall, Alastair, 2022. "The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach," World Development, Elsevier, vol. 158(C).
    6. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    7. J. Paul Elhorst & Katarina Zigova, 2011. "Evidence of Competition in Research Activity among Economic Department using Spatial Econometric Techniques," Working Paper Series of the Department of Economics, University of Konstanz 2011-04, Department of Economics, University of Konstanz.
    8. Todd Landman & T. Huw Edwards & Tulio Antonio-Cravo & David Kernohan, 2011. "Human Rights: The Effect of Neighbouring Countries," Discussion Paper Series 2011_01, Department of Economics, Loughborough University, revised Sep 2011.
    9. Jesus Mur & Ana Angulo, 2005. "A closer look at the Spatial Durbin Model," ERSA conference papers ersa05p392, European Regional Science Association.
    10. Ahmad, Mahyudin & Siong Hook, Law, 2022. "Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities," MPRA Paper 114471, University Library of Munich, Germany.
    11. Ahmad, Mahyudin & Hall, Stephen G. & Law, Siong Hook & Nayan, Sabri, 2023. "The spillover effects of financial development and institutions on economic growth in emerging economies: new insights from spatial Durbin approach," MPRA Paper 118966, University Library of Munich, Germany.
    12. Cem Ertur & Julie Le Gallo & Catherine Baumont, 2006. "The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?," International Regional Science Review, , vol. 29(1), pages 3-34, January.
    13. Catherine Baumont & Cem Ertur & Julie Le Gallo, 2001. "A spatial econometric analysis of geographic spillovers and growth for European regions, 1980-1995," Working Papers hal-01526858, HAL.
    14. Roberto Ezcurra & Pedro Pascual & Manuel Rapun, 2006. "Regional Specialization in the European Union," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 601-616.
    15. Macfarlane, Gregory S. & Garrow, Laurie A. & Moreno-Cruz, Juan, 2015. "Do Atlanta residents value MARTA? Selecting an autoregressive model to recover willingness to pay," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 214-230.
    16. Pandit, Ram & Polyakov, Maksym & Sadler, Rohan, 2014. "Valuing public and private urban tree canopy cover," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    17. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    18. Nguyen-Van, P. & Stenger, A. & Veron, E., 2021. "Spatial factors influencing the territorial gaps of organic farming in France," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311087, Agricultural Economics Society - AES.
    19. Albert Solé-Ollé, 2001. "Budget spillovers in a metropolitan area: typology and empirical evidence," Working Papers 2001/5, Institut d'Economia de Barcelona (IEB).
    20. Giuseppe Francesco Gori & Renato Paniccià, 2015. "A structural multisectoral model with new economic geography linkages for Tuscany," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 175-196, November.

    More about this item

    Keywords

    Valor de la tierra; mercado inmobiliario; tipo de cambio; econometría espacial;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:4317. 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.