IDEAS home Printed from https://ideas.repec.org/p/hhs/osloec/2013_005.html
   My bibliography  Save this paper

Economic Regime Shifts and the US Subprime Bubble

Author

Listed:
  • Anundsen, André Kallåk

    (Dept. of Economics, University of Oslo)

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. 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 stable for earlier periods.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 in the early 2000s. 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. Finally, it is shown that the increased subprime exposure during the 2000s can explain the econometric breakdown, i.e. the housing bubble may be attributed to 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.

Suggested Citation

  • Anundsen, André Kallåk, 2013. "Economic Regime Shifts and the US Subprime Bubble," Memorandum 05/2013, Oslo University, Department of Economics.
  • Handle: RePEc:hhs:osloec:2013_005
    as

    Download full text from publisher

    File URL: http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/2003/Memo-05-2003.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Janine Aron & John V. Duca & John N. Muellbauer & Keiko Murata & Anthony Murphy, 2010. "Credit, housing collateral and consumption: evidence from the UK, Japan and the US," Working Papers 1002, Federal Reserve Bank of Dallas.
    2. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    3. Mikhed, Vyacheslav & Zemcík, Petr, 2009. "Do house prices reflect fundamentals? Aggregate and panel data evidence," Journal of Housing Economics, Elsevier, vol. 18(2), pages 140-149, June.
    4. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    5. Stiglitz, Joseph E, 1990. "Symposium on Bubbles," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 13-18, Spring.
    6. Harbo, Ingrid, et al, 1998. "Asymptotic Inference on Cointegrating Rank in Partial Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 388-399, October.
    7. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    8. Duca, John V. & Muellbauer, John & Murphy, Anthony, 2011. "Shifting credit standards and the boom and bust in U.S. house prices," LSE Research Online Documents on Economics 58533, London School of Economics and Political Science, LSE Library.
    9. John V. Duca & John Muellbauer & Anthony Murphy, 2011. "House Prices and Credit Constraints: Making Sense of the US Experience," Economic Journal, Royal Economic Society, vol. 121(552), pages 533-551, May.
    10. 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.
    11. Christopher L. Foote & Kristopher S. Gerardi & Paul S. Willen, 2012. "Why Did So Many People Make So Many Ex Post Bad Decisions? The Causes of the Foreclosure Crisis," NBER Working Papers 18082, National Bureau of Economic Research, Inc.
    12. Karl E. Case & Robert J. Shiller, 1987. "Prices of single-family homes since 1970: new indexes for four cities," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 45-56.
    13. Joshua Gallin, 2008. "The Long‐Run Relationship Between House Prices and Rents," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(4), pages 635-658, December.
    14. Vyacheslav Mikhed & Petr Zemčík, 2009. "Testing for Bubbles in Housing Markets: A Panel Data Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 366-386, May.
    15. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    16. Jian Zhou, 2010. "Testing for Cointegration between House Prices and Economic Fundamentals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 599-632, Winter.
    17. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    18. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    20. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    21. Meen, Geoffrey, 2002. "The Time-Series Behavior of House Prices: A Transatlantic Divide?," Journal of Housing Economics, Elsevier, vol. 11(1), pages 1-23, March.
    22. Nathalie Girouard & Mike Kennedy & Paul van den Noord & Christophe André, 2006. "Recent House Price Developments: The Role of Fundamentals," OECD Economics Department Working Papers 475, OECD Publishing.
    23. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    24. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    25. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    26. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    27. Clark, Steven P. & Coggin, T. Daniel, 2011. "Was there a U.S. house price bubble? An econometric analysis using national and regional panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 189-200, May.
    28. Castle Jennifer L. & Doornik Jurgen A & Hendry David F., 2011. "Evaluating Automatic Model Selection," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-33, February.
    29. Cunningham, Christopher R. & Engelhardt, Gary V., 2008. "Housing capital-gains taxation and homeowner mobility: Evidence from the Taxpayer Relief Act of 1997," Journal of Urban Economics, Elsevier, vol. 63(3), pages 803-815, May.
    30. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    31. Granger, Clive W J & Hallman, Jeffrey J, 1991. "Long Memory Series with Attractors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(1), pages 11-26, February.
    32. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    33. Meen, Geoffrey P, 1990. "The Removal of Mortgage Market Constraints and the Implications for Econometric Modelling of UK House Prices," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(1), pages 1-23, February.
    34. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, 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. Shuping Shi & Abbas Valadkhani & Russell Smyth & Farshid Vahid, 2016. "Dating the Timeline of House Price Bubbles in Australian Capital Cities," The Economic Record, The Economic Society of Australia, vol. 92(299), pages 590-605, December.
    2. Magill, Michael & Quinzii, Martine, 2015. "Prices and investment with collateral and default," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 111-132.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Jian Zhou, 2010. "Testing for Cointegration between House Prices and Economic Fundamentals," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(4), pages 599-632, Winter.
    6. Mohammad Jaforullah & Alan King, 2015. "is New Zealand's economy vulnerable to world oil market shocks?," Working Papers 1503, University of Otago, Department of Economics, revised Mar 2015.
    7. 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.
    8. Gueye, Ghislain Nono, 2021. "Pitfalls in the cointegration analysis of housing prices with the macroeconomy: Evidence from OECD countries," Journal of Housing Economics, Elsevier, vol. 51(C).
    9. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911.
    10. Ahmed, Walid M.A., 2011. "Comovements and Causality of Sector Price Indices: Evidence from the Egyptian Stock Exchange," MPRA Paper 28127, University Library of Munich, Germany.
    11. Eleftherios J. Thalassinos & Evagelos D. Politis, 2011. "International Stock Markets: A Co-integration Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 113-130.
    12. M.T. Alguacil & V. Orts, "undated". "A multivariate cointegrated model testing for temporal causality between exports and outward FDI: The Spanish case," Studies on the Spanish Economy 50, FEDEA.
    13. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    14. Bardsen, G. & Klovland, J.T., 1990. "Finding The Rigth Nominal Anchor: The Cointegration Of Money, Credit And Nominal Income In Norway," The Warwick Economics Research Paper Series (TWERPS) 350, University of Warwick, Department of Economics.
    15. Alexander Schätz, 2010. "Macroeconomic Effects on Emerging Market Sector Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 9(2), pages 131-169, August.
    16. Esther Stroe-Kunold & Joachim Werner, 2009. "A drunk and her dog: a spurious relation? Cointegration tests as instruments to detect spurious correlations between integrated time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(6), pages 913-940, November.
    17. Chee-Keong Choong & Wai-Ching Poon & Muzafar Shah Habibullah & Zulkornain Yusop, 2003. "The Validity of PPP Theory in ASEAN-Five: Another Look on Cointegration and Panel Data Analysis," International Trade 0309018, University Library of Munich, Germany.
    18. James Davidson, 2013. "Cointegration and error correction," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 7, pages 165-188, Edward Elgar Publishing.
    19. Lütkepohl, Helmut, 1999. "Vector autoregressions," SFB 373 Discussion Papers 1999,4, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    20. Nazif Durmaz, 2011. "Housing Prices and Fundamentals: The Role of a Supply Shifter," Economics Bulletin, AccessEcon, vol. 31(3), pages 2468-2479.

    More about this item

    Keywords

    Cointegration; Regime Shifts; US Housing Bubble; Subprime Lending; Bubble Indicator;
    All these keywords.

    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

    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:hhs:osloec:2013_005. 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: Mari Strønstad Øverås (email available below). General contact details of provider: https://edirc.repec.org/data/souiono.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.