IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v27y2023i4p29-43n3.html
   My bibliography  Save this article

The Identification of Seasonality in the Housing Market Using the X13-ARIMA-SEATS Model

Author

Listed:
  • Mach Łukasz

    (Opole University, Faculty of Economics, Opole, Poland)

  • Dąbrowski Ireneusz

    (Warsaw School of Economics, Collegium of Management and Finance, Warszawa, Poland)

  • Wotzka Daria

    (Opole University of Technology, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole, Poland)

  • Frącz Paweł

    (Opole University, Faculty of Economics, Opole, Poland)

Abstract

Aim In the conducted research, profiles of seasonality in the housing market were determined, which provided an opportunity to answer two fundamental questions: what is the nature of harmonic variation in the seasonality and periodicity of the studied components of the construction process? what parameters of the ARIMA model optimally describe the construction market? Methodology In the conducted research, using the X13-ARIMA-SEATS model, seasonal decomposition was carried out in the various stages of the housing construction process. Results The research process conducted to identify seasonal fluctuations in the housing construction market showed that harmonic fluctuation profiles can be identified on an annual basis. An analysis of seasonal fluctuations was carried out for each of the three stages of the housing construction process, while also checking how these profiles function for Poland in general, and for individual investors, and for those building apartments for sale or to rent. The study showed that the market for real estate development activity differs in its seasonal characteristics from that of individual investors. Implications and recommendations The conclusions obtained from the research can provide support in the decision-making process, both from a macro and microeconomic perspective. Parameterisation of the occurring fluctuations, and taking them into account in the process of developing a forecast can provide decision-making rationale in the implementation of macroprudential and financial stability policies Originality/Value A novelty is in the demonstration that the residential real estate market in Poland shows different seasonal parameters, divided into the market of individual investors and investors who build apartments for sale or rent.

Suggested Citation

  • Mach Łukasz & Dąbrowski Ireneusz & Wotzka Daria & Frącz Paweł, 2023. "The Identification of Seasonality in the Housing Market Using the X13-ARIMA-SEATS Model," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 27(4), pages 29-43, December.
    • Handle: RePEc:vrs:eaiada:v:27:y:2023:i:4:p:29-43:n:3
    DOI: 10.15611/eada.2023.4.03
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2023.4.03
    Download Restriction: no
    File URL: https://libkey.io/10.15611/eada.2023.4.03?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. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    2. Wolfgang Breuer & Bertram I. Steininger, 2020. "Recent trends in real estate research: a comparison of recent working papers and publications using machine learning algorithms," Journal of Business Economics, Springer, vol. 90(7), pages 963-974, August.
    3. Wesley Clair Mitchell, 1927. "Business Cycles: The Problem and Its Setting," NBER Books, National Bureau of Economic Research, Inc, number mitc27-1.
    4. Wesley Clair Mitchell, 1927. "Introductory pages to "Business Cycles: The Problem and Its Setting"," NBER Chapters, in: Business Cycles: The Problem and Its Setting, pages -23, National Bureau of Economic Research, Inc.
    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. Olivier J. Blanchard & Mark W. Watson, 1986. "Are Business Cycles All Alike?," NBER Chapters, in: The American Business Cycle: Continuity and Change, pages 123-180, National Bureau of Economic Research, Inc.
    2. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 36(85), pages 48-64, April.
    3. Grigoraş, Veaceslav & Stanciu, Irina Eusignia, 2016. "New evidence on the (de)synchronisation of business cycles: Reshaping the European business cycle," International Economics, Elsevier, vol. 147(C), pages 27-52.
    4. Stéphane Dupraz & Emi Nakamura & Jón Steinsson, 2019. "A Plucking Model of Business Cycles," NBER Working Papers 26351, National Bureau of Economic Research, Inc.
    5. Selin Sayek & David D. Selover, 2002. "International Interdependence and Business Cycle Transmission between Turkey and the European Union," Southern Economic Journal, John Wiley & Sons, vol. 69(2), pages 206-238, October.
    6. Domian, Dale L. & Louton, David A., 1997. "A threshold autoregressive analysis of stock returns and real economic activity," International Review of Economics & Finance, Elsevier, vol. 6(2), pages 167-179.
    7. Arthur F. Burns, 1969. "The Nature and Causes of Business Cycles," NBER Chapters, in: The Business Cycle in a Changing World, pages 3-53, National Bureau of Economic Research, Inc.
    8. Rothman Philip A, 2008. "Reconsideration of the Markov Chain Evidence on Unemployment Rate Asymmetry," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-18, September.
    9. Robert W. Dimand, 2012. "The Roots of the Present are in the Past: The Relation of Postwar Developments in Macroeconomics to Interwar Business Cycle and Monetary Theory," Chapters, in: Thomas Cate (ed.), Keynes’s General Theory, chapter 5, Edward Elgar Publishing.
    10. Karamé, Frédéric, 2015. "Asymmetries and Markov-switching structural VAR," Journal of Economic Dynamics and Control, Elsevier, vol. 53(C), pages 85-102.
    11. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, February.
    12. Jong-seok Oh, 2018. "Changes in cyclical patterns of the USA labor market: from the perspective of nonlinear Okun’s law," International Review of Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 237-258, March.
    13. Agnès Labrousse & Sandrine Michel, 2017. "Accumulation regimes," Post-Print hal-01719977, HAL.
    14. David Laidler, 2013. "Professor Fisher and the quantity theory -- a significant encounter," The European Journal of the History of Economic Thought, Taylor & Francis Journals, vol. 20(2), pages 174-205, April.
    15. Silva, Aldy Fernandes da & Weffort, Elionor Farah Jreige & Flores, Eduardo da Silva & Silva, Glauco Peres da, 2014. "Gerenciamento de resultados e crises econômicas no mercado de capitais brasileiro," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 54(3), May.
    16. Sinclair Tara M, 2009. "Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-31, December.
    17. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.
    18. Pablo Mejía-Reyes & Reyna Vergara-González, 2017. "Are More Severe Recessions Followed by Stronger Early Expansions of Employment in the Mexican States?," The Review of Regional Studies, Southern Regional Science Association, vol. 47(3), pages 243-269, Fall.
    19. Peter Martey Addo & Monica Billio & Dominique Guegan, 2012. "Studies in Nonlinear Dynamics and Wavelets for Business Cycle Analysis," Documents de travail du Centre d'Economie de la Sorbonne 12023r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Nov 2013.
    20. Travis J. Berge & Shu-Chun Chen & Hsieh Fushing & Òscar Jordà, 2010. "A chronology of international business cycles through non-parametric decoding," Research Working Paper RWP 11-13, Federal Reserve Bank of Kansas City.

    More about this item

    Keywords

    seasonality; real estate market; X13-ARIMA-SEATS;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    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:vrs:eaiada:v:27:y:2023:i:4:p:29-43:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.