IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v30y2022i4p89-102n3.html
   My bibliography  Save this article

Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches

Author

Listed:
  • Bełej Mirosław

    (Departament of Spatial Analysis and Real Estate Market, University of Warmia and Mazury in Olsztyn, Poland)

Abstract

The study used Google search query data on real estate interest for several countries in the Baltic area. The dynamics of public interest in housing have been compared to the dynamics of the COVID-19 infections in Lithuania, Latvia, Poland, and Sweden. This study uses the Vector autoregressive (VAR) model to forecast such time series. VAR is a multivariate linear time series model in which the endogenous variables in the system are lagged functions of the values of all endogenous variables. The increase in COVID-19 infections negatively affected society’s interest in housing. The study used Google Trends and R software.

Suggested Citation

  • Bełej Mirosław, 2022. "Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches," Real Estate Management and Valuation, Sciendo, vol. 30(4), pages 89-102, December.
    • Handle: RePEc:vrs:remava:v:30:y:2022:i:4:p:89-102:n:3
    DOI: 10.2478/remav-2022-0031
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2022-0031
    Download Restriction: no
    File URL: https://libkey.io/10.2478/remav-2022-0031?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. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955.
    2. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    3. Adams, Zeno & Füss, Roland, 2010. "Macroeconomic determinants of international housing markets," Journal of Housing Economics, Elsevier, vol. 19(1), pages 38-50, March.
    4. David Baqaee & Emmanuel Farhi, 2022. "Supply and Demand in Disaggregated Keynesian Economies with an Application to the COVID-19 Crisis," American Economic Review, American Economic Association, vol. 112(5), pages 1397-1436, May.
    5. Baek, Seungho & Mohanty, Sunil K. & Glambosky, Mina, 2020. "COVID-19 and stock market volatility: An industry level analysis," Finance Research Letters, Elsevier, vol. 37(C).
    6. Pfaff, Bernhard, 2008. "VAR, SVAR and SVEC Models: Implementation Within R Package vars," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i04).
    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. Mirosław Bełej, 2022. "Does Google Trends Show the Strength of Social Interest as a Predictor of Housing Price Dynamics?," Sustainability, MDPI, vol. 14(9), pages 1-14, May.
    2. Islamaj,Ergys & Le,Duong Trung & Mattoo,Aaditya, 2021. "Lives versus Livelihoods during the COVID-19 Pandemic : How Testing Softens the Trade-off," Policy Research Working Paper Series 9696, The World Bank.
    3. Mattia Guerini & Lionel Nesta & Xavier Ragot & Stefano Schiavo, 2022. "The Zombification of the Economy? Assessing the Effectiveness of French Government Support During COVID-19 Lockdown," GREDEG Working Papers 2022-24, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    5. Marco Bottone & Cristina Conflitti & Marianna Riggi & Alex Tagliabracci, 2021. "Firms' inflation expectations and pricing strategies during Covid-19," Questioni di Economia e Finanza (Occasional Papers) 619, Bank of Italy, Economic Research and International Relations Area.
    6. Asghar, Zahid & Abid, Irum, 2007. "Performance of lag length selection criteria in three different situations," MPRA Paper 40042, University Library of Munich, Germany.
    7. Niculaescu, Corina E. & Sangiorgi, Ivan & Bell, Adrian R., 2023. "Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors," International Review of Financial Analysis, Elsevier, vol. 88(C).
    8. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    9. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    10. Julian di Giovanni & Şebnem Kalemli-Özcan & Alvaro Silva & Muhammed A Yildirim, "undated". "Pandemic-era Inflation Drivers and Global Spillovers," RBA Annual Conference Papers acp2023-01, Reserve Bank of Australia, revised Nov 2023.
    11. Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    12. Niels Haldrup & Carsten P. T. Rosenskjold, 2019. "A Parametric Factor Model of the Term Structure of Mortality," Econometrics, MDPI, vol. 7(1), pages 1-22, March.
    13. Vasileiou, Evangelos, 2018. "Is the turn of the month effect an “abnormal normality”? Controversial findings, new patterns and…hidden signs(?)," Research in International Business and Finance, Elsevier, vol. 44(C), pages 153-175.
    14. Pagano, Michael S. & Sedunov, John & Velthuis, Raisa, 2021. "How did retail investors respond to the COVID-19 pandemic? The effect of Robinhood brokerage customers on market quality," Finance Research Letters, Elsevier, vol. 43(C).
    15. Deborah Bentivoglio & Adele Finco & Mirian Rumenos Piedade Bacchi, 2016. "Interdependencies between Biofuel, Fuel and Food Prices: The Case of the Brazilian Ethanol Market," Energies, MDPI, vol. 9(6), pages 1-16, June.
    16. Simplice A Asongu, 2013. "A Short-run Schumpeterian Trip to Embryonic African Monetary Zones," Economics Bulletin, AccessEcon, vol. 33(1), pages 859-873.
    17. Garg, Bhavesh & Prabheesh, K.P., 2021. "Testing the intertemporal sustainability of current account in the presence of endogenous structural breaks: Evidence from the top deficit countries," Economic Modelling, Elsevier, vol. 97(C), pages 365-379.
    18. Panarello, Demetrio, 2021. "Economic insecurity, conservatism, and the crisis of environmentalism: 30 years of evidence," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    19. Kajuth, Florian & Knetsch, Thomas A. & Pinkwart, Nicolas, 2013. "Assessing house prices in Germany: Evidence from an estimated stock-flow model using regional data," Discussion Papers 46/2013, Deutsche Bundesbank.
    20. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).

    More about this item

    Keywords

    google trends; vector autoregressive model; housing market;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    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:remava:v:30:y:2022:i:4:p:89-102: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.