IDEAS home Printed from https://ideas.repec.org/p/bca/bocsan/21-21.html
   My bibliography  Save this paper

Canadian housing supply elasticities

Author

Abstract

This note describes the procedure implemented in Giannone et al. (2020) to estimate housing supply elasticities for a large set of cities in Canada (Census Agglomerations) following a novel approach developed by Guren et al. (2021). In contrast with the popular elasticities estimated by Saiz (2010), which explores geographical and regulation heterogeneity across cities, the approach employed in this note exploits the systematic differential sensitivity of different cities to regional house-price cycles.

Suggested Citation

  • Nuno Paixao, 2021. "Canadian housing supply elasticities," Staff Analytical Notes 2021-21, Bank of Canada.
    • Handle: RePEc:bca:bocsan:21-21
    as

    Download full text from publisher

    File URL: https://www.bankofcanada.ca/2021/09/staff-analytical-note-2021-21/
    Download Restriction: no
    File URL: https://www.bankofcanada.ca/wp-content/uploads/2021/09/san2021-21.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Davidoff, Thomas, 2016. "Supply Constraints Are Not Valid Instrumental Variables for Home Prices Because They Are Correlated With Many Demand Factors," Critical Finance Review, now publishers, vol. 5(2), pages 177-206, December.
    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. Christian A. L. Hilber, 2019. "Immobilienpreise und Immobilienzyklen und die Rolle von Angebotsbeschränkungen [The impact of local supply constraints on house prices and price dynamics]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 37-65, November.
    2. Waxman, Andrew & Liang, Yuanning & Li, Shanjun & Barwick, Panle Jia & Zhao, Meng, 2020. "Tightening belts to buy a home: Consumption responses to rising housing prices in urban China," Journal of Urban Economics, Elsevier, vol. 115(C).
    3. Abe C. Dunn & Mahsa Gholizadeh, 2020. "The Geography of Consumption and Local Economic Shocks: The Case of the Great Recession," BEA Working Papers 0179, Bureau of Economic Analysis.
    4. Henrik Yde Andersen & Søren Leth-Petersen, 2021. "Housing Wealth or Collateral: How Home Value Shocks Drive Home Equity Extraction and Spending," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 403-440.
    5. Lin, Chuanhao, 2024. "Do households value lower density: Theory, evidence, and implications from Washington, DC," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    6. Yue Qiu & Tracy Yue Wang, 2021. "Skilled Labor Risk and Corporate Policies [The growth of low skill service jobs and the polarization of the U.S. labor market]," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 10(3), pages 437-472.
    7. Felix Chopra & Christopher Roth & Johannes Wohlfart, 2023. "Home Price Expectations and Spending: Evidence from a Field Experiment," CEBI working paper series 23-03, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    8. Adam Guren & Alisdair McKay & Emi Nakamura & Jón Steinsson, 2021. "What Do We Learn from Cross-Regional Empirical Estimates in Macroeconomics?," NBER Macroeconomics Annual, University of Chicago Press, vol. 35(1), pages 175-223.
    9. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    10. Adam M Guren & Alisdair McKay & Emi Nakamura & Jón Steinsson, 2021. "Housing Wealth Effects: The Long View," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(2), pages 669-707.
    11. James Cloyne & Kilian Huber & Ethan Ilzetzki & Henrik Kleven, 2019. "The Effect of House Prices on Household Borrowing: A New Approach," American Economic Review, American Economic Association, vol. 109(6), pages 2104-2136, June.
    12. Molloy, Raven, 2020. "The effect of housing supply regulation on housing affordability: A review," Regional Science and Urban Economics, Elsevier, vol. 80(C).
    13. Murray, Cameron K., 2020. "Time is money: How landbanking constrains housing supply," Journal of Housing Economics, Elsevier, vol. 49(C).
    14. Einar C. Kjenstad & Anil Kumar, 2022. "The effect of real estate prices on peer firms," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(4), pages 1022-1053, December.
    15. Davis, Morris A. & Larson, William D. & Oliner, Stephen D. & Shui, Jessica, 2021. "The price of residential land for counties, ZIP codes, and census tracts in the United States," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 413-431.
    16. Lina Meng & Xiao Xiao & Yinggang Zhou, 2023. "Housing Boom and Household Migration Decision: New Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 67(3), pages 453-479, October.
    17. Ning Jia & Raven Molloy & Christopher Smith & Abigail Wozniak, 2023. "The Economics of Internal Migration: Advances and Policy Questions," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 144-180, March.
    18. Ms. Yu Shi, 2018. "Sectoral Booms and Misallocation of Managerial Talent: Evidence from the Chinese Real Estate Boom," IMF Working Papers 2018/221, International Monetary Fund.
    19. Xiaoqing Zhou, 2022. "Mortgage borrowing and the boom-bust cycle in consumption and residential investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 44, pages 244-268, April.
    20. Victor Couture & Jessie Handbury, 2017. "Urban Revival in America, 2000 to 2010," NBER Working Papers 24084, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Housing;

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

    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:bocsan:21-21. 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.