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Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?

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  • Simon van Norden

    (Bank of Canada, International Department)

  • Robert Vigfusson

Abstract

Work on testing for bubbles has caused much debate, much of which has focused on methodology. Monte Carlo simulations reported in Evans (1991) showed that standard tests for unit roots and cointegration frequently reject the presence of bubbles even when such bubbles are present by construction. Evans referred to this problem as the pitfall of testing for bubbles. Since Evans' note, new tests for rational speculative bubbles that rely on regime switching have been proposed. van Norden and Schaller (1993) and van Norden (1996) use a switching regression to look for a time- varying relationship between returns and deviations from an approximate fundamental price. Hall and Sola (1993) and Funke, Hall and Sola (1994) test whether asset prices seem to switch between explosive growth and stationary behaviour. Our paper does Monte Carlo experiments using Evan's data generating process to gauge the performance of these two kinds of regime-switching tests. These rely heavily on new fast robust programs developed at the Bank of Canada for the estimation of switching regression models, which make Monte Carlo studies of such estimators practical. We find that for some (but not all) parameter values, regime-switching tests have significant amount of power to detect periodically collapsing bubbles. We also compare and contrast the performance of the two different regime-switching tests.

Suggested Citation

  • Simon van Norden & Robert Vigfusson, 1996. "Avoiding the Pitfalls: Can Regime-Switching Tests Detect Bubbles?," Meeting papers 9603001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpme:9603001
    Note: Paper to be presented at the SNDE meeting in Boston March 16th. Text and Graphs in separate Postscript files. Both files compressed in a single Info-zip archive, then uuencoded.
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    1. Michael Funke & Stephen Hall & Martin Sola, 1993. "Rational Bubbles During Poland's Hyperinflation: Implications and Empirical Evidence," CESifo Working Paper Series 52, CESifo.
    2. Simon van Norden & Robert Vigfusson, 1996. "Regime-Switching Models, A guide to the Bank of Canada Gauss Procedures," Staff Working Papers 96-3, Bank of Canada.
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    Cited by:

    1. Roche, Maurice J., 2001. "The rise in house prices in Dublin: bubble, fad or just fundamentals," Economic Modelling, Elsevier, vol. 18(2), pages 281-295, April.
    2. Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Scientific Monographs, Bank of Finland, number 2012_047.
    3. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
    4. Kim, Bong Han & Min, Hong-Ghi, 2011. "Household lending, interest rates and housing price bubbles in Korea: Regime switching model and Kalman filter approach," Economic Modelling, Elsevier, vol. 28(3), pages 1415-1423, May.
    5. Maurice J. Roche & Kieran McQuinn, 2000. "Speculation in agricultural land," Economics Department Working Paper Series n1010700, Department of Economics, National University of Ireland - Maynooth.
    6. Mc Quinn, Kieran, 2004. "A Model of the Irish Housing Sector," Research Technical Papers 1/RT/04, Central Bank of Ireland.
    7. Maurice J. Roche, 1999. "Irish House Prices - Will the Roof Cave In?," The Economic and Social Review, Economic and Social Studies, vol. 30(4), pages 343-362.

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    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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