IDEAS home Printed from https://ideas.repec.org/a/kap/iaecre/v16y2010i1p39-5110.1007-s11294-009-9244-5.html
   My bibliography  Save this article

Estimating Housing Prices: A Proposal with Spatially Correlated Data

Author

Listed:
  • Jose Montero
  • Beatriz Larraz

Abstract

The price of housing per square meter and the trend observed over the last few years is one of the issues that most concerns Spanish citizens and subsequently their political and economic representatives. However, in spite of the importance of space in the real estate market, official averages do not take into account the spatial correlation of housing prices. In order to solve this handicap, we propose the kriging the mean method to estimate mean housing prices. This method provides the best unbiased linear estimation taking into account spatially correlated data. Copyright International Atlantic Economic Society 2010

Suggested Citation

  • Jose Montero & Beatriz Larraz, 2010. "Estimating Housing Prices: A Proposal with Spatially Correlated Data," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 39-51, February.
  • Handle: RePEc:kap:iaecre:v:16:y:2010:i:1:p:39-51:10.1007/s11294-009-9244-5
    DOI: 10.1007/s11294-009-9244-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11294-009-9244-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11294-009-9244-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John M. Clapp & Hyon–Jung Kim & Alan E. Gelfand, 2002. "Predicting Spatial Patterns of House Prices Using LPR and Bayesian Smoothing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 30(4), pages 505-532.
    2. Allan Din & Martin Hoesli & Andre Bender, 2001. "Environmental Variables and Real Estate Prices," Urban Studies, Urban Studies Journal Limited, vol. 38(11), pages 1989-2000, October.
    3. Bradford Case & John Clapp & Robin Dubin & Mauricio Rodriguez, 2004. "Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 167-191, September.
    4. Dubin, Robin A, 1998. "Predicting House Prices Using Multiple Listings Data," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 35-59, July.
    5. repec:kap:iaecre:v:14:y:2008:i:4:p:407-421 is not listed on IDEAS
    6. Yiu, C.Y. & Tam, C.S., 2007. "Housing price gradient with two workplaces -- An empirical study in Hong Kong," Regional Science and Urban Economics, Elsevier, vol. 37(3), pages 413-429, May.
    7. Alan E. Gelfand & Mark D. Ecker & John R. Knight & C. F. Sirmans, 2004. "The Dynamics of Location in Home Price," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 149-166, September.
    8. Sun Sheng Han, 2004. "Spatial Structure of Residential Property-Value Distribution in Beijing and Jakarta," Environment and Planning A, , vol. 36(7), pages 1259-1283, July.
    9. Beatriz Larraz-Iribas & Jose-Luis Alfaro-Navarro, 2008. "Asymmetric Behaviour of Spanish Regional House Prices," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(4), pages 407-421, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Beatriz Larraz, 2011. "An Expert System for Online Residential Properties Valuation," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 69-82, April.
    2. Kilgarriff, Paul & Charlton, Martin & Foley, Ronan & O'Donoghue, Cathal, 2019. "The impact of housing consumption value on the spatial distribution of welfare," Journal of Housing Economics, Elsevier, vol. 43(C), pages 118-130.
    3. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.
    4. José-María Montero & Coro Chasco & Beatriz Larraz, 2010. "Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator," Journal of Geographical Systems, Springer, vol. 12(4), pages 435-459, December.
    5. José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.

    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. repec:kap:iaecre:v:16:y:2010:i:1:p:39-51 is not listed on IDEAS
    2. Jos魍ar𨁍ontero-Lorenzo & Beatriz Larraz-Iribas, 2012. "Space-time approach to commercial property prices valuation," Applied Economics, Taylor & Francis Journals, vol. 44(28), pages 3705-3715, October.
    3. Daniel Lo & Kwong Wing Chau & Siu Kei Wong & Michael McCord & Martin Haran, 2022. "Factors Affecting Spatial Autocorrelation in Residential Property Prices," Land, MDPI, vol. 11(6), pages 1-16, June.
    4. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    5. Liang Peng, 2012. "Repeat Sales Regression on Heterogeneous Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 804-827, October.
    6. Jorge Chica-Olmo, 2007. "Prediction of Housing Location Price by a Multivariate Spatial Method: Cokriging," Journal of Real Estate Research, American Real Estate Society, vol. 29(1), pages 95-114.
    7. Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
    8. Ekaterina Chernobai & Michael Reibel & Michael Carney, 2011. "Nonlinear Spatial and Temporal Effects of Highway Construction on House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 42(3), pages 348-370, April.
    9. Eddie Chi Man Hui & Cong Liang & Ziyou Wang & Yuan Wang, 2016. "The roles of developer’s status and competitive intensity in presale pricing in a residential market: A study of the spatio-temporal model in Hangzhou, China," Urban Studies, Urban Studies Journal Limited, vol. 53(6), pages 1203-1224, May.
    10. Xiaolong Liu, 2013. "Spatial and Temporal Dependence in House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 341-369, August.
    11. Patrick J. Walsh & J. Walter Milon & David O. Scrogin, 2011. "The Spatial Extent of Water Quality Benefits in Urban Housing Markets," Land Economics, University of Wisconsin Press, vol. 87(4), pages 628-644.
    12. Zuo Zhang & Xinhai Lu & Min Zhou & Yan Song & Xiang Luo & Bing Kuang, 2019. "Complex Spatial Morphology of Urban Housing Price Based on Digital Elevation Model: A Case Study of Wuhan City, China," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    13. Mark D. Ecker & Victor De Oliveira, 2007. "Bayesian Spatial Modeling of Housing Prices Subject to a Localized Externality," Working Papers 0030, College of Business, University of Texas at San Antonio.
    14. Salvati, Luca & Ciommi, Maria Teresa & Serra, Pere & Chelli, Francesco M., 2019. "Exploring the spatial structure of housing prices under economic expansion and stagnation: The role of socio-demographic factors in metropolitan Rome, Italy," Land Use Policy, Elsevier, vol. 81(C), pages 143-152.
    15. José-María Montero-Lorenzo & Beatriz Larraz-Iribas & Antonio Páez, 2009. "Estimating commercial property prices: an application of cokriging with housing prices as ancillary information," Journal of Geographical Systems, Springer, vol. 11(4), pages 407-425, December.
    16. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    17. Steven C. Bourassa & Eva Cantoni & Martin Hoesli, 2005. "Spatial Dependence, Housing Submarkets, and House Prices," FAME Research Paper Series rp151, International Center for Financial Asset Management and Engineering.
    18. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
    19. Jamie Spinney & Pavlos Kanaroglou & Darren Scott, 2011. "Exploring Spatial Dynamics with Land Price Indexes," Urban Studies, Urban Studies Journal Limited, vol. 48(4), pages 719-735, March.
    20. Andréas Heinen & James B. Kau & Donald C. Keenan & Mi Lim Kim, 2021. "Spatial Dependence in Subprime Mortgage Defaults," The Journal of Real Estate Finance and Economics, Springer, vol. 62(1), pages 1-24, January.
    21. Stefan Sebastian Fahrländer, 2006. "Semiparametric Construction of Spatial Generalized Hedonic Models for Private Properties," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(IV), pages 501-528, December.

    More about this item

    Keywords

    Kriging the mean estimator; Covariogram; Spatial correlation; Housing prices; C13; C21; R31;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:kap:iaecre:v:16:y:2010:i:1:p:39-51:10.1007/s11294-009-9244-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.