IDEAS home Printed from https://ideas.repec.org/p/bca/bocadp/18-16.html
   My bibliography  Save this paper

Fundamental Drivers of Existing Home Sales in Canada

Author

Listed:
  • Taylor Webley

Abstract

Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility. The results suggest that, over longer horizons, resales activity and these fundamentals share a stable relationship, although deviations are sometimes persistent. We also find a robust and positive relationship between house price growth and deviations of existing home sales from fundamentals. While predicting quarterly changes in resales remains very difficult, provincial models improve upon national and naïve benchmarks and provide a useful framework for identifying risks to GDP growth that stem directly from the resale market.

Suggested Citation

  • Taylor Webley, 2018. "Fundamental Drivers of Existing Home Sales in Canada," Discussion Papers 18-16, Bank of Canada.
    • Handle: RePEc:bca:bocadp:18-16
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/wp-content/uploads/2018/12/sdp2018-16.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Frédérick Demers, 2005. "Modelling and Forecasting Housing Investment: The Case of Canada," Staff Working Papers 05-41, Bank of Canada.
    4. David Amirault & Daniel de Munnik & Sarah Miller, 2016. "What drags and drives mobility? Explaining Canada's aggregate migration patterns," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 1035-1056, August.
    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. Mikael Khan & Taylor Webley, 2019. "Disentangling the Factors Driving Housing Resales," Staff Analytical Notes 2019-12, Bank of Canada.

    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. Georgios Bertsatos & Plutarchos Sakellaris & Mike G. Tsionas, 2022. "Extensions of the Pesaran, Shin and Smith (2001) bounds testing procedure," Empirical Economics, Springer, vol. 62(2), pages 605-634, February.
    2. Biqing Cai & Jiti Gao & Dag Tjøstheim, 2017. "A New Class of Bivariate Threshold Cointegration Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 288-305, April.
    3. van Amano, Robert A & Norden, Simon, 1998. "Exchange Rates and Oil Prices," Review of International Economics, Wiley Blackwell, vol. 6(4), pages 683-694, November.
    4. Herzer Dierk, 2022. "Semi-endogenous Versus Schumpeterian Growth Models: A Critical Review of the Literature and New Evidence," Review of Economics, De Gruyter, vol. 73(1), pages 1-55, April.
    5. Ashis Kumar Pradhan & Gourishankar S Hiremath, 2020. "Do external commercial borrowings and financial development affect exports?," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1796269-179, January.
    6. Bagnai, Alberto & Mongeau Ospina, Christian Alexander, 2015. "Long- and short-run price asymmetries and hysteresis in the Italian gasoline market," Energy Policy, Elsevier, vol. 78(C), pages 41-50.
    7. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    8. Jarko Fidrmuc & Sylvia Kaufmann & Andreas Resch, 2008. "Structural breaks in Austrian foreign trade with Eastern Europe during the early 1970s," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(5), pages 465-479, December.
    9. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Seun Damola Oladipupo & Ephraim Bonah Agyekum & Arunkumar Jayakumar & Nallapaneni Manoj Kumar, 2021. "Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability," IJERPH, MDPI, vol. 18(14), pages 1-20, July.
    10. Dutrénit, Gabriela & Natera, José Miguel & Puchet Anyul, Martín & Vera-Cruz, Alexandre O., 2019. "Development profiles and accumulation of technological capabilities in Latin America," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 396-412.
    11. Ferda Halicioglu, 2007. "The demand for new housing in Turkey: an application of ARDL model," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 9(1), pages 62-74.
    12. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," Money Macro and Finance (MMF) Research Group Conference 2005 18, Money Macro and Finance Research Group.
    13. Oludele Emmanuel Folarin, 2019. "Financial reforms and industrialisation: evidence from Nigeria," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 166-189, June.
    14. Arai, Yoichi, 2016. "Testing For Linearity In Regressions With I(1) Processes," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(1), pages 111-138, June.
    15. Shahbaz, Muhammad, 2013. "Linkages between inflation, economic growth and terrorism in Pakistan," Economic Modelling, Elsevier, vol. 32(C), pages 496-506.
    16. Chukwuebuka Bernard Azolibe, 2021. "Determinants of External Indebtedness in Heavily Indebted Poor Countries: What Macroeconomic and Socio-Economic Factors Matter?," The American Economist, Sage Publications, vol. 66(2), pages 249-264, October.
    17. Guan, Jialin & Kirikkaleli, Dervis & Bibi, Ayesha & Zhang, Weike, 2020. "Natural resources rents nexus with financial development in the presence of globalization: Is the “resource curse” exist or myth?," Resources Policy, Elsevier, vol. 66(C).
    18. Hyun Jeong Kim & Jong Chil Son & Myung-Soo Yie, 2017. "House Price Dynamics with Household Debt: The Korean Case-super-," Asian Economic Journal, East Asian Economic Association, vol. 31(1), pages 39-59, March.
    19. Canzoneri, Matthew B. & Cumby, Robert E. & Diba, Behzad, 1999. "Relative labor productivity and the real exchange rate in the long run: evidence for a panel of OECD countries," Journal of International Economics, Elsevier, vol. 47(2), pages 245-266, April.
    20. Jesus Vazquez, 2002. "Does the Lucas critique apply during hyperinflation?: empirical evidence from four hyperinflationary episodes," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1389-1397.

    More about this item

    Keywords

    Econometric and statistical methods; Economic models; Housing;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E - Macroeconomics and Monetary Economics
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • R - Urban, Rural, Regional, Real Estate, and Transportation Economics
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bca:bocadp:18-16. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bocgvca.html .

    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.