IDEAS home Printed from https://ideas.repec.org/p/nzb/nzbans/2014-03.html
   My bibliography  Save this paper

How has the LVR restriction affected the housing market: a counterfactual analysis

Author

Abstract

This paper estimates a counterfactual scenario of what might have happened to housing market indicators since late 2013 if the LVR restriction had not been implemented. House prices and credit growth have been weaker than suggested by that counterfactual model.

Suggested Citation

  • Gael Price, 2014. "How has the LVR restriction affected the housing market: a counterfactual analysis," Reserve Bank of New Zealand Analytical Notes series AN2014/03, Reserve Bank of New Zealand.
    • Handle: RePEc:nzb:nzbans:2014/03
    as

    Download full text from publisher

    File URL: http://www.rbnz.govt.nz/-/media/ReserveBank/Files/Publications/Analytical%20notes/2014/an2014-03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    2. Chris Bloor & Chris McDonald, 2013. "Estimating the impacts of restrictions on high LVR lending," Reserve Bank of New Zealand Analytical Notes series AN2013/05, Reserve Bank of New Zealand.
    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. Kukk, Merike & Levenko, Natalia, 2024. "Measuring the effects of borrower-based policies on new housing loans," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 666-684.
    2. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    3. Funke, Michael & Kirkby, Robert & Mihaylovski, Petar, 2018. "House prices and macroprudential policy in an estimated DSGE model of New Zealand," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 152-171.
    4. David Hargreaves, 2016. "The macroprudential policy framework in New Zealand," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy, volume 86, pages 141-146, Bank for International Settlements.
    5. Andrés Alegría & Rodrigo Alfaro & Felipe Córdova, 2017. "The impact of warnings published in a financial stability report on loan-to value ratios," BIS Working Papers 633, Bank for International Settlements.
    6. Chris Bloor & Bruce Lu, 2019. "Have the LVR restrictions improved the resilience of the banking system?," Reserve Bank of New Zealand Analytical Notes series AN2019/07, Reserve Bank of New Zealand.
    7. Buesa, Alejandro & De Quinto, Alicia & Población, Javier, 2022. "Risky mortgages, credit shocks and cross-border spillovers," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 717-733.
    8. Dimitrios Laliotis & Alejandro Buesa & Miha Leber & Javier Población, 2020. "An agent-based model for the assessment of LTV caps," Quantitative Finance, Taylor & Francis Journals, vol. 20(10), pages 1721-1748, October.
    9. Gross, Marco & Población, Javier, 2017. "Assessing the efficacy of borrower-based macroprudential policy using an integrated micro-macro model for European households," Economic Modelling, Elsevier, vol. 61(C), pages 510-528.
    10. Anne-Marie Brook, 2014. "Options to Narrow New Zealand’s Saving – Investment Imbalance," Treasury Working Paper Series 14/17, New Zealand Treasury.
    11. Abreu, Daniel & Félix, Sónia & Oliveira, Vitor & Silva, Fátima, 2024. "The impact of a macroprudential borrower-based measure on households’ leverage and housing choices," Journal of Housing Economics, Elsevier, vol. 64(C).
    12. Péter Fáykiss, Márton Nagy and Anikó Szombati, 2017. "Regionally-differentiated debt cap rules: a Hungarian perspective," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 153-178, Bank for International Settlements.
    13. Cussen, Mary & O'Brien, Martin & Onorante, Luca & O'Reilly, Gerard, 2015. "Assessing the impact of macroprudential measures," Economic Letters 03/EL/15, Central Bank of Ireland.
    14. Alegría, Andrés & Alfaro, Rodrigo & Córdova, Felipe, 2021. "The effect of warnings published in a financial stability report on loan-to-value ratios," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(4).
    15. Péter Fáykiss & Alexandr Palicz & János Szakács & Márton Zsigó, 2018. "Experiences of Debt Cap Regulations in Hungarian Retail Lending," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(1), pages 34-61.
    16. William Gatt, 2024. "Loan‐to‐value limits as a macroprudential policy tool: Developments in theory and practice," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 232-267, February.
    17. Daniel Abreu, 2021. "Curb your enthusiasm: the aggregate short-run effects of a borrower-based measure," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    18. Martin Wong, 2017. "Revisiting the Wealth Effect on Consumption in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2017/03, Reserve Bank of New Zealand.

    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. Summers, Peter M., 2001. "Forecasting Australia's economic performance during the Asian crisis," International Journal of Forecasting, Elsevier, vol. 17(3), pages 499-515.
    2. Giannone, Domenico & Lenza, Michele & Momferatou, Daphne & Onorante, Luca, 2014. "Short-term inflation projections: A Bayesian vector autoregressive approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 635-644.
    3. Andersson, Malin & Maurin, Laurent & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," Working Paper Series 2606, European Central Bank.
    4. Tino Berger & Tore Dubbert, 2022. "Government spending effects on the business cycle in times of crisis," CQE Working Papers 10022, Center for Quantitative Economics (CQE), University of Muenster.
    5. Camba-Mendez, Gonzalo, 2012. "Conditional forecasts on SVAR models using the Kalman filter," Economics Letters, Elsevier, vol. 115(3), pages 376-378.
    6. Pär Österholm, 2009. "Incorporating Judgement in Fan Charts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(2), pages 387-415, June.
    7. Pesaran, M.H. & Smith, L.V. & Smith, R.P, 2005. "What if the UK has Joined the Euro in 1999? An Empirical Evaluation using a Global VAR," Cambridge Working Papers in Economics 0528, Faculty of Economics, University of Cambridge.
    8. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    9. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian Vector Autoregressions," The Warwick Economics Research Paper Series (TWERPS) 1159, University of Warwick, Department of Economics.
    10. Michael W. McCracken & Joseph T. McGillicuddy, 2019. "An empirical investigation of direct and iterated multistep conditional forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 181-204, March.
    11. Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
    12. Mr. Matteo Ciccarelli & Mr. Alessandro Rebucci, 2003. "Bayesian Vars: A Survey of the Recent Literature with An Application to the European Monetary System," IMF Working Papers 2003/102, International Monetary Fund.
    13. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    14. Spånberg, Erik & Shahnazarian, Hovick, 2019. "The importance of the financial system for the current account in Sweden: A sectoral approach," International Economics, Elsevier, vol. 158(C), pages 91-103.
    15. Montes-Galdón, Carlos & Paredes, Joan & Wolf, Elias, 2022. "Conditional density forecasting: a tempered importance sampling approach," Working Paper Series 2754, European Central Bank.
    16. Lukmanova, Elizaveta & Rabitsch, Katrin, 2023. "Evidence on monetary transmission and the role of imperfect information: Interest rate versus inflation target shocks," European Economic Review, Elsevier, vol. 158(C).
    17. Berger, Tino & Ochsner, Christian, 2022. "Robust real-time estimates of the German output gap based on a multivariate trend-cycle decomposition," Discussion Papers 35/2022, Deutsche Bundesbank.
    18. Ángel Estrada & Luis Guirola & Iván Kataryniuk & Jaime Martínez-Martín, 2020. "The use of BVARs in the analysis of emerging economies," Occasional Papers 2001, Banco de España.
    19. Alistair Dieppe & Bjorn van Roye & Paolo. Bonomolo, 2017. "Re-assessing Monetary Policy Shocks in China," EcoMod2017 10524, EcoMod.
    20. Güneş Kamber & Chris McDonald & Nicholas Sander & Konstantinos Theodoridis, 2015. "A structural model for policy analysis and forecasting: NZSIM," Reserve Bank of New Zealand Discussion Paper Series DP2015/05, Reserve Bank of New Zealand.

    More about this item

    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:nzb:nzbans:2014/03. 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: Reserve Bank of New Zealand Knowledge Centre (email available below). General contact details of provider: https://edirc.repec.org/data/rbngvnz.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.