[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v50y2023i3p579-599.html
   My bibliography  Save this article

A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw

Author

Listed:
  • Mateusz Tomal
  • Marco Helbich
Abstract
A hedonic approach is typically performed to identify housing rental or sales price determinants. However, standard hedonic regression models disregard spatial autocorrelation of prices and heterogeneity of housing preferences across space and over price segments. We developed a spatial autoregressive geographically weighted quantile regression (GWQR-SAR) to address these shortcomings. Using data on the determinants of residential rental prices in Warsaw (Poland) and Amsterdam (The Netherlands) as case studies, we applied GWQR-SAR and rigorously compared its performance with alternative mean and quantile hedonic regressions. The results revealed that GWQR-SAR outperforms other models in terms of fitting accuracy. Compared with mean regressions, GWQR-SAR performs better, especially at the tails of the dependent variable distribution, where non-quantile models overestimate low rent values and underestimate high ones. Policy recommendations for the development of private residential rental markets are provided based on our results, which incorporate spatial effects and price segment requirements.

Suggested Citation

  • Mateusz Tomal & Marco Helbich, 2023. "A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw," Environment and Planning B, , vol. 50(3), pages 579-599, March.
    • Handle: RePEc:sae:envirb:v:50:y:2023:i:3:p:579-599
    DOI: 10.1177/23998083221122790
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221122790
    Download Restriction: no
    File URL: https://libkey.io/10.1177/23998083221122790?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
    ---><---

    References listed on IDEAS

    as
    1. Balázs Égert & Dubravko Mihaljek, 2007. "Determinants of House Prices in Central and Eastern Europe," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 49(3), pages 367-388, September.
    2. Mathur, Shishir, 2019. "Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach," Land Use Policy, Elsevier, vol. 80(C), pages 88-94.
    3. McMillen, Daniel, 2015. "Conditionally parametric quantile regression for spatial data: An analysis of land values in early nineteenth century Chicago," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 28-38.
    4. Cho, Seong-Hoon & Kim, Seung Gyu & Roberts, Roland K. & Jung, Suhyun, 2009. "Amenity values of spatial configurations of forest landscapes over space and time in the Southern Appalachian Highlands," Ecological Economics, Elsevier, vol. 68(10), pages 2646-2657, August.
    5. Tae-Hwan Kim & Christophe Muller, 2004. "Two-stage quantile regression when the first stage is based on quantile regression," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 218-231, June.
    6. Leung, Charles, 2004. "Macroeconomics and housing: a review of the literature," Journal of Housing Economics, Elsevier, vol. 13(4), pages 249-267, December.
    7. Michal Rubaszek & Margarita Rubio, 2020. "Does the rental housing market stabilize the economy? A micro and macro perspective," Empirical Economics, Springer, vol. 59(1), pages 233-257, July.
    8. Leung, Tin Cheuk & Tsang, Kwok Ping, 2012. "Love thy neighbor: Income distribution and housing preferences," Journal of Housing Economics, Elsevier, vol. 21(4), pages 322-335.
    9. Geniaux, Ghislain & Martinetti, Davide, 2018. "A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 74-85.
    10. Daams, Michiel N. & Sijtsma, Frans J. & Veneri, Paolo, 2019. "Mixed monetary and non-monetary valuation of attractive urban green space: A case study using Amsterdam house prices," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    11. Kopczewska, Katarzyna & Ćwiakowski, Piotr, 2021. "Spatio-temporal stability of housing submarkets. Tracking spatial location of clusters of geographically weighted regression estimates of price determinants," Land Use Policy, Elsevier, vol. 103(C).
    12. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    13. Richard Meese & Nancy Wallace, 1991. "Nonparametric Estimation of Dynamic Hedonic Price Models and the Construction of Residential Housing Price Indices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 308-332, September.
    14. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    15. 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.
    16. Joe Peek & James A. Wilcox, 1991. "The Measurement and Determinants of Single‐Family House Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(3), pages 353-382, September.
    17. Sofie R. Waltl, 2019. "Variation Across Price Segments and Locations: A Comprehensive Quantile Regression Analysis of the Sydney Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(3), pages 723-756, September.
    18. Bernd Fitzenberger & Benjamin Fuchs, 2017. "The Residency Discount for Rents in Germany and the Tenancy Law Reform Act 2001: Evidence from Quantile Regressions," German Economic Review, Verein für Socialpolitik, vol. 18(2), pages 212-236, May.
    19. Goodman, Allen C., 1998. "Andrew Court and the Invention of Hedonic Price Analysis," Journal of Urban Economics, Elsevier, vol. 44(2), pages 291-298, September.
    20. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    21. G. Stacy Sirmans & John D. Benjamin, 1991. "Determinants of Market Rent," Journal of Real Estate Research, American Real Estate Society, vol. 6(3), pages 357-380.
    22. Mateusz Tomal, 2022. "Exploring the meso-determinants of apartment prices in Polish counties using spatial autoregressive multiscale geographically weighted regression," Applied Economics Letters, Taylor & Francis Journals, vol. 29(9), pages 822-830, May.
    23. Dubin, Robin A., 1998. "Spatial Autocorrelation: A Primer," Journal of Housing Economics, Elsevier, vol. 7(4), pages 304-327, December.
    24. Li, Deng-Kui & Mei, Chang-Lin & Wang, Ning, 2019. "Tests for spatial dependence and heterogeneity in spatially autoregressive varying coefficient models with application to Boston house price analysis," Regional Science and Urban Economics, Elsevier, vol. 79(C).
    25. repec:eme:ijhma0:ijhma-09-2012-0043 is not listed on IDEAS
    26. Joachim Zietz & Emily Zietz & G. Sirmans, 2008. "Determinants of House Prices: A Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 317-333, November.
    27. Björn Egner & Katharina J Grabietz, 2018. "In search of determinants for quoted housing rents: Empirical evidence from major German cities," Urban Research & Practice, Taylor & Francis Journals, vol. 11(4), pages 460-477, October.
    28. Yu, Keming & Jones, M. C., 1997. "A comparison of local constant and local linear regression quantile estimators," Computational Statistics & Data Analysis, Elsevier, vol. 25(2), pages 159-166, July.
    29. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    30. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    31. Cho, Seong-Hoon & Poudyal, Neelam C. & Roberts, Roland K., 2008. "Spatial analysis of the amenity value of green open space," Ecological Economics, Elsevier, vol. 66(2-3), pages 403-416, June.
    32. Rietveld, Piet & Daniel, Vanessa, 2004. "Determinants of bicycle use: do municipal policies matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(7), pages 531-550, August.
    33. M. McCord & P.T. Davis & M. Haran & D. McIlhatton & J. McCord, 2014. "Understanding rental prices in the UK: a comparative application of spatial modelling approaches," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 7(1), pages 98-128, February.
    34. Sunding, David L. & Swoboda, Aaron M., 2010. "Hedonic analysis with locally weighted regression: An application to the shadow cost of housing regulation in Southern California," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 550-573, November.
    35. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    36. M. McCord & P.T. Davis & M. Haran & D. McIlhatton & J. McCord, 2014. "Understanding rental prices in the UK: a comparative application of spatial modelling approaches," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 7(1), pages 98-128, February.
    37. Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.
    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. Wongsa-art, Pipat & Kim, Namhyun & Xia, Yingcun & Moscone, Francesco, 2024. "Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England," Regional Science and Urban Economics, Elsevier, vol. 106(C).

    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. Alan T. K. Wan & Shangyu Xie & Yong Zhou, 2017. "A varying coefficient approach to estimating hedonic housing price functions and their quantiles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(11), pages 1979-1999, August.
    2. McMillen, Daniel & Shimizu, Chihiro, 2017. "Decompositions of Spatially Varying Quantile Distribution Estimates: The Rise and Fall of Tokyo House Prices," HIT-REFINED Working Paper Series 74, Institute of Economic Research, Hitotsubashi University.
    3. Zhang, Lei & Yi, Yimin, 2017. "Quantile house price indices in Beijing," Regional Science and Urban Economics, Elsevier, vol. 63(C), pages 85-96.
    4. Cartone, Alfredo & Postiglione, Paolo & Hewings, Geoffrey J.D., 2021. "Does economic convergence hold? A spatial quantile analysis on European regions," Economic Modelling, Elsevier, vol. 95(C), pages 408-417.
    5. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Francois des Rosiers, 2017. "Market heterogeneity and the determinants of Paris apartment prices: A quantile regression approach," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3260-3280, November.
    6. Pei-Ing Wu & Yi Chen & Je-Liang Liou, 2021. "Housing property along riverbanks in Taipei, Taiwan: a spatial quantile modelling of landscape benefits and flooding losses," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2404-2438, February.
    7. Jiyoung Chae & Anil K. Bera, 2024. "Spatial Market Inefficiency in Housing Market: A Spatial Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 69(1), pages 70-99, July.
    8. Tomal Mateusz, 2019. "The Impact of Macro Factors on Apartment Prices in Polish Counties: A Two-Stage Quantile Spatial Regression Approach," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 1-14, December.
    9. Nishi, Hayato & Asami, Yasushi & Shimizu, Chihiro, 2021. "The illusion of a hedonic price function: Nonparametric interpretable segmentation for hedonic inference," Journal of Housing Economics, Elsevier, vol. 52(C).
    10. Bohman, Helena & Nilsson, Désirée, 2016. "The impact of regional commuter trains on property values: Price segments and income," Journal of Transport Geography, Elsevier, vol. 56(C), pages 102-109.
    11. Liao, Wen-Chi & Wang, Xizhu, 2012. "Hedonic house prices and spatial quantile regression," Journal of Housing Economics, Elsevier, vol. 21(1), pages 16-27.
    12. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
    13. Michał Hebdzyński, 2024. "Price-setting factors or revealed preferences? How to understand the results of hedonic models and hedonic indices of the housing rental market that base on listings data?," Bank i Kredyt, Narodowy Bank Polski, vol. 55(4), pages 519-550.
    14. Trojanek, Radoslaw & Huderek-Glapska, Sonia, 2018. "Measuring the noise cost of aviation – The association between the Limited Use Area around Warsaw Chopin Airport and property values," Journal of Air Transport Management, Elsevier, vol. 67(C), pages 103-114.
    15. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).
    16. Mats Wilhelmsson, 2019. "Energy Performance Certificates and Its Capitalization in Housing Values in Sweden," Sustainability, MDPI, vol. 11(21), pages 1-16, November.
    17. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    18. Nana Cui & Hengyu Gu & Tiyan Shen & Changchun Feng, 2018. "The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison," Sustainability, MDPI, vol. 10(12), pages 1-23, November.
    19. Ismail, Muhammad & Warsame, Abukar & Wilhelmsson, Mats, 2020. "Measuring Gentrification with Getis-Ord Statistics and Its Effect on Housing Prices in Neighboring Areas: The Case of Stockholm," Working Paper Series 20/19, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    20. repec:grz:wpaper:2015-09 is not listed on IDEAS
    21. Dieter Gerdesmeier & Andreja Lenarčič & Barbara Roffia, 2015. "An alternative method for identifying booms and busts in the Euro area housing market," Applied Economics, Taylor & Francis Journals, vol. 47(5), pages 499-518, January.

    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:sae:envirb:v:50:y:2023:i:3:p:579-599. 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: SAGE Publications (email available below). General contact details of provider: .

    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.