IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v19y2017i2d10.1007_s10109-017-0247-0.html
   My bibliography  Save this article

Exploring the spatiotemporal behavior of Helsinki’s housing prices with fractal geometry and co-integration

Author

Listed:
  • Athanasios Votsis

    (Finnish Meteorological Institute
    University of Helsinki)

Abstract

Fractal geometry and co-integration are combined for exploring spatial morphological aspects of quarterly dwelling prices in Helsinki’s region from 1977 to 2011. Curves of fractal scaling behavior are first employed to measure the fractal dimensions of high- and low-price/m2 spatial clusters at multiple scales. Subsequently, the fractal dimensions at indicative neighborhood and citywide scales are modeled with vector error correction specifications. The results identify long-run joint equilibria between the fractal geometries of high- and low-price/m2 clusters at both spatial scales. High-price/m2 clusters exhibit consistently higher fractal dimensions than their low-value counterparts at the neighborhood scale, while this long-run relation is reversed at the citywide scale. Short-run disequilibria and subsequent adjustments are also scale sensitive. The fractal geometry of high-price/m2 clusters leads the dynamics at the neighborhood scale, while low-price/m2 clusters lead at the citywide scale. The system’s responses to exogenous shocks take longer time to stabilize at the neighborhood scale compared to the citywide scale, but in both scales the non-stationary nature of fractal behavior is evident. These elements indicate that a closer look on spatial economic behavior at more than one spatial and temporal scale at a time can reveal non-trivial information in the context of urban research and policy analysis.

Suggested Citation

  • Athanasios Votsis, 2017. "Exploring the spatiotemporal behavior of Helsinki’s housing prices with fractal geometry and co-integration," Journal of Geographical Systems, Springer, vol. 19(2), pages 133-155, April.
    • Handle: RePEc:kap:jgeosy:v:19:y:2017:i:2:d:10.1007_s10109-017-0247-0
    DOI: 10.1007/s10109-017-0247-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10109-017-0247-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-017-0247-0?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. Isabelle Thomas & Pierre Frankhauser & Dominique Badariotti, 2012. "Comparing the fractality of European urban neighbourhoods: do national contexts matter?," Journal of Geographical Systems, Springer, vol. 14(2), pages 189-208, April.
    2. Dubin, Robin A, 1988. "Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 466-474, August.
    3. Oikarinen, Elias, 2005. "The Diffusion of Housing Price Movements from Centre to Surrounding Areas," Discussion Papers 979, The Research Institute of the Finnish Economy.
    4. Grischa Perino & Barnaby Andrews & Andreas Kontoleon & Ian Bateman, 2014. "The Value of Urban Green Space in Britain: A Methodological Framework for Spatially Referenced Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(2), pages 251-272, February.
    5. Athanasios Votsis & Adriaan Perrels, 2016. "Housing Prices and the Public Disclosure of Flood Risk: A Difference-in-Differences Analysis in Finland," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 450-471, November.
    6. Sheppard, Stephen, 1999. "Hedonic analysis of housing markets," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 41, pages 1595-1635, Elsevier.
    7. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    8. repec:cai:popine:popu_p1998_10n1_0240 is not listed on IDEAS
    9. Brueckner, Jan K. & Thisse, Jacques-Francois & Zenou, Yves, 1999. "Why is central Paris rich and downtown Detroit poor?: An amenity-based theory," European Economic Review, Elsevier, vol. 43(1), pages 91-107, January.
    10. Brueckner, Jan K., 2011. "Lectures on Urban Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262016362, December.
    11. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, November.
    12. Kenny, Geoff, 1999. "Modelling the demand and supply sides of the housing market: evidence from Ireland1," Economic Modelling, Elsevier, vol. 16(3), pages 389-409, August.
    13. Isabelle Thomas & Pierre Frankhauser & Benoit Frenay & Michel Verleysen, 2010. "Clustering Patterns of Urban Built-up Areas with Curves of Fractal Scaling Behaviour," Environment and Planning B, , vol. 37(5), pages 942-954, October.
    14. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    15. Marcial H Echenique & Vadim Grinevich & Anthony J Hargreaves & Vassilis Zachariadis, 2013. "LUISA: A Land-Use Interaction with Social Accounting Model; Presentation and Enhanced Calibration Method," Environment and Planning B, , vol. 40(6), pages 1003-1026, December.
    16. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    17. 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..
    18. Elias Oikarinen, 2014. "Is Urban Land Price Adjustment More Sluggish than Housing Price Adjustment? Empirical Evidence," Urban Studies, Urban Studies Journal Limited, vol. 51(8), pages 1686-1706, June.
    19. Alex Anas, 2013. "A Summary of the Applications to Date of RELU-TRAN, a Microeconomic Urban Computable General Equilibrium Model," Environment and Planning B, , vol. 40(6), pages 959-970, December.
    20. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198, November.
    21. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    22. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    23. P. C. Cheshire & E. S. Mills (ed.), 1999. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 3, number 3.
    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. Votsis, Athanasios, 2017. "Planning for green infrastructure: The spatial effects of parks, forests, and fields on Helsinki's apartment prices," Ecological Economics, Elsevier, vol. 132(C), pages 279-289.
    2. Grau, Aaron Stephan Alexander & Hockmann, Heinrich, 2017. "Estimating oligopsony power on two vertically integrated markets," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261277, European Association of Agricultural Economists.
    3. Adu, Raymond & Litsios, Ioannis & Baimbridge, Mark, 2019. "Real exchange rate and asymmetric shocks in the West African Monetary Zone (WAMZ)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 232-249.
    4. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    5. Sapkota, Niranjan & Grobys, Klaus, 2021. "Asset market equilibria in cryptocurrency markets: Evidence from a study of privacy and non-privacy coins," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    6. Thomas Glauben & Jens-Peter Loy & Julia Körner, 2007. "Der Einfluss der Euro-Einführung auf die Preisentwicklung bei frischen Lebensmitteln in Deutschland," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(3), pages 457-485.
    7. James Alm & Abel Embaye, 2010. "Explaining The Growth Of Government Spending In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 78(2), pages 152-169, June.
    8. Rita D'Ecclesia & Mauro Costantini, 2006. "Comovements and correlations in international stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 12(6-7), pages 567-582.
    9. Bjørnar Kivedal, 2014. "A DSGE model with housing in the cointegrated VAR framework," Empirical Economics, Springer, vol. 47(3), pages 853-880, November.
    10. Mai, Nhat Chi, 2019. "Stock Market And Economic Growth In Vietnam," OSF Preprints de8zq, Center for Open Science.
    11. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2015. "Analyse temps-fréquence du co-mouvement entre le marché européen du CO2 et les autres marchés de l'énergie," Working Papers 15-08, LAMETA, Universtiy of Montpellier, revised May 2015.
    12. , Aisdl, 2019. "Stock Market And Economic Growth In Vietnam," OSF Preprints ucbhp, Center for Open Science.
    13. Li, Jian & Chavas, Jean-Paul, 2020. "The Impacts of African Swine Fever on Vertical and Spatial Hog Pricing and Market Integration in China," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304516, Agricultural and Applied Economics Association.
    14. Nazifi, Fatemeh, 2013. "Modelling the price spread between EUA and CER carbon prices," Energy Policy, Elsevier, vol. 56(C), pages 434-445.
    15. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
    16. Ange Nsouadi & Jules Sadefo Kamdem & Michel Terraza, 2013. "Analyse temps-fréquence de la relation entre les prix du quota et du crédit carbone," Working Papers 13-12, LAMETA, Universtiy of Montpellier, revised Nov 2013.
    17. Amikuzuno, Joseph & Ihle, Rico, 2010. "Seasonal Asymmetric Price Transmission in Ghanaian Tomato Markets: Adapting Johansen’s Estimation Method," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96814, African Association of Agricultural Economists (AAAE).
    18. Jesus Gonzalo & Tae-Hwy Lee, 2000. "On the robustness of cointegration tests when series are fractionally intergrated," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(7), pages 821-827.
    19. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
    20. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.

    More about this item

    Keywords

    Fractals; Co-integration; Residential property value; Multiscale dynamics;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:jgeosy:v:19:y:2017:i:2:d:10.1007_s10109-017-0247-0. 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.