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Complex Methods in Economics: An Example of Behavioral Heterogeneity in House Prices

  • Bolt, W.

    (De Nederlandsche Bank)

  • Demertzis, D.

    (De Nederlandsche Bank)

  • Diks, C.G.H.

    ()

    (University of Amsterdam)

  • Van der Leij, M.J.

    ()

    (University of Amsterdam)

We show how simple statistical techniques for capturing critical transitions used in natural sciences, fail to capture economic regime shifts. This implies that we need to use model-based approaches to identify critical transitions. We apply a heterogenous agents model in a standard housing market model to show that these family of models generate non-linear responses that can capture such transitions. We estimate this model for the United States and the Netherlands and find that first, the data does capture the heterogeneity in expectations and, second, that the qualitative predictions of such nonlinear models are very different to standard linear benchmarks. It would be important to identify which approach can serve best as an early warning indicator.

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File URL: http://www1.fee.uva.nl/cendef/publications/papers/ham_houses_v08.pdf
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Paper provided by Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance in its series CeNDEF Working Papers with number 11-12.

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Date of creation: 2011
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Handle: RePEc:ams:ndfwpp:11-12
Contact details of provider: Postal: Dept. of Economics and Econometrics, Universiteit van Amsterdam, Roetersstraat 11, NL - 1018 WB Amsterdam, The Netherlands
Phone: + 31 20 525 52 58
Fax: + 31 20 525 52 83
Web page: http://www.fee.uva.nl/cendef/
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  1. Andrew Berg & Eduardo Borensztein & Catherine A. Pattillo, 2004. "Assessing Early Warning Systems; How Have they Worked in Practice?," IMF Working Papers 04/52, International Monetary Fund.
  2. Sean D. Campbell & Morris A. Davis & Joshua Gallin & Robert F. Martin, 2006. "A trend and variance decomposition of the rent-price ratio in housing markets," Finance and Economics Discussion Series 2006-29, Board of Governors of the Federal Reserve System (U.S.).
  3. Graciela Laura Kaminsky, 1997. "Leading Indicators of Currency Crises," IMF Working Papers 97/79, International Monetary Fund.
  4. Christian Hott & Pierre Monnin, 2008. "Fundamental Real Estate Prices: An Empirical Estimation with International Data," The Journal of Real Estate Finance and Economics, Springer, vol. 36(4), pages 427-450, May.
  5. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2009. "Behavioural heterogeneity and shift-contagion: Evidence from the Asian crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 33(11), pages 1929-1944, November.
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  7. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2012. "Understanding booms and busts in housing markets," CQER Working Paper 2012-02, Federal Reserve Bank of Atlanta.
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  9. Asli Demirgüç-Kunt & Enrica Detragiache, 2005. "Cross-Country Empirical Studies of Systemic Bank Distress: A Survey," National Institute Economic Review, National Institute of Economic and Social Research, vol. 192(1), pages 68-83, April.
  10. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
  11. Thomas Lux, 2007. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Working Papers wp07-11, Warwick Business School, Finance Group.
  12. Boswijk, H.P. & Hommes C.H. & Manzan, S., 2005. "Behavioral Heterogeneity in Stock Prices," CeNDEF Working Papers 05-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  13. Franke, Reiner & Westerhoff, Frank, 2011. "Structural stochastic volatility in asset pricing dynamics: Estimation and model contest," BERG Working Paper Series 78, Bamberg University, Bamberg Economic Research Group.
  14. Edward E. Leamer, 2007. "Housing IS the Business Cycle," NBER Working Papers 13428, National Bureau of Economic Research, Inc.
  15. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.
  16. Poterba, James M, 1992. "Taxation and Housing: Old Questions, New Answers," American Economic Review, American Economic Association, vol. 82(2), pages 237-42, May.
  17. Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
  18. Brent W. Ambrose & Piet Eichholtz & Thies Lindenthal, 2013. "House Prices and Fundamentals: 355 Years of Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 477-491, 03.
  19. Linda Rousová & Paul van den Noord, 2011. "Predicting Peaks and Troughs in Real House Prices," OECD Economics Department Working Papers 882, OECD Publishing.
  20. Davis, E. Philip & Karim, Dilruba, 2008. "Comparing early warning systems for banking crises," Journal of Financial Stability, Elsevier, vol. 4(2), pages 89-120, June.
  21. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.
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