IDEAS home Printed from https://ideas.repec.org/a/wly/japmet/v30y2015i1p145-169.html

Econometric Regime Shifts and the US Subprime Bubble

Author

Listed:
  • André K. Anundsen

Abstract

Using aggregate quarterly data for the period 1975q1–2010q4, I find that the US housing market changed from a stable regime with prices determined by fundamentals, to a highly unstable regime at the beginning of the previous decade. My results indicate that these imbalances could have been detected with the aid of real time econometric modeling and that they were caused by the sharp rise in subprime lending in the early to mid 2000s. These results are based on the detection of huge parameter non-constancies and a loss of equilibrium correction in two theory derived cointegrating relationships shown to be very stable for earlier periods. Controlling for the increased subprime exposure during this period, enables me to reestablish the pre-break relationships also for the full sample. This suggests that the US housing bubble was caused by the increased borrowing to a more risky segment of the market, which may have allowed for a latent frenzy behavior that previously was constrained by the lack of financing. With reference to Stiglitz’s general conception of a bubble, I use the econometric results to construct two bubble indicators, which clearly demonstrate the transition to an unstable regime. Such indicators can be part of an early warning system and are shown to Granger cause a set of coincident indicators and financial (in)stability measures.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • André K. Anundsen, 2015. "Econometric Regime Shifts and the US Subprime Bubble," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 145-169, January.
  • Handle: RePEc:wly:japmet:v:30:y:2015:i:1:p:145-169
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vinicius Phillipe de Albuquerquemello & Cássio Besarria, 2020. "Rental market and macroeconomics: evidence for the US," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(3), pages 587-603, August.
    2. Pål Boug & Håvard Hungnes & Takamitsu Kurita, 2024. "The empirical modelling of house prices and debt revisited: a policy-oriented perspective," Empirical Economics, Springer, vol. 66(1), pages 369-404, January.
    3. Martin Wagner & Dominik Wied, 2017. "Consistent Monitoring of Cointegrating Relationships: The US Housing Market and the Subprime Crisis," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(6), pages 960-980, November.
    4. Lorenzo Trapani & Emily Whitehouse, 2020. "Sequential monitoring for cointegrating regressions," Papers 2003.12182, arXiv.org.
    5. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    6. André K. Anundsen, 2019. "Detecting Imbalances in House Prices: What Goes Up Must Come Down?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(4), pages 1587-1619, October.
    7. Alisa Yusupova & Nicos G. Pavlidis & Efthymios G. Pavlidis, 2019. "Adaptive Dynamic Model Averaging with an Application to House Price Forecasting," Papers 1912.04661, arXiv.org.
    8. Martínez-García, Enrique & Grossman, Valerie, 2020. "Explosive dynamics in house prices? An exploration of financial market spillovers in housing markets around the world," Journal of International Money and Finance, Elsevier, vol. 101(C).
    9. Jiao, Xiyu & Pretis, Felix & Schwarz, Moritz, 2024. "Testing for coefficient distortion due to outliers with an application to the economic impacts of climate change," Journal of Econometrics, Elsevier, vol. 239(1).
    10. Monia Magnani & Massimo Guidolin, 2025. "Nonlinear Dynamics in Monetary Policy-Fueled Stock Market Bubbles," BAFFI CAREFIN Working Papers 25252, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    11. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    12. Duan, Kun & Zhang, Liya & Chen, Shuyun & Urquhart, Andrew, 2025. "Heterogeneous housing bubbles and monetary policy," International Review of Financial Analysis, Elsevier, vol. 103(C).
    13. Anundsen, André K. & Jansen, Eilev S., 2013. "Self-reinforcing effects between housing prices and credit," Journal of Housing Economics, Elsevier, vol. 22(3), pages 192-212.
    14. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.
    15. Diego Ardila & Dorsa Sanadgol & Peter Cauwels & Didier Sornette, 2017. "Identification and critical time forecasting of real estate bubbles in the USA," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 613-631, April.
    16. Bergman, U. Michael & Sørensen, Peter Birch, 2021. "The interaction of actual and fundamental house prices: A general model with an application to Sweden," Journal of Housing Economics, Elsevier, vol. 54(C).
    17. André K. Anundsen & Eilev S. Jansen, 2013. "Self-reinforcing effects between housing prices and credit: an extended version," Discussion Papers 756, Statistics Norway, Research Department.
    18. Damen, Sven & Vastmans, Frank & Buyst, Erik, 2016. "The effect of mortgage interest deduction and mortgage characteristics on house prices," Journal of Housing Economics, Elsevier, vol. 34(C), pages 15-29.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G01 - Financial Economics - - General - - - Financial Crises
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Econometric Regime Shifts and the US Subprime Bubble (Journal of Applied Econometrics 2015) in ReplicationWiki

    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:wly:japmet:v:30:y:2015:i:1:p:145-169. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .

    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.