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The Liquidity Trap: Evidence from Japan

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  • Isabelle Weberpals

Abstract

Japanese economic activity has been stagnant since the collapse of the speculative asset-price bubble in 1990, despite highly expansionary monetary policy which has brought interest rates down to record low levels. Although several reasons have been put forward to explain the sustained weakness of the Japanese economy, none is more intriguing from the viewpoint of a central bank than the possibility that monetary policy had been largely ineffective because the Japanese economy entered a Keynesian "liquidity trap." According to Keynes, the monetary authority would be unable to reduce interest rates below a non-zero positive interest rate floor if market participants believed that interest rates had reached bottom. Any subsequent monetary expansion, then, would lead investors to increase their holdings of idle cash balances and to become net sellers of government bonds. This paper provides evidence on whether the Japanese economy entered a "liquidity trap" in the recent period, based on a money-demand framework. A Markov regime-switching approach is also used to determine whether the more recent response of money demand to interest rates can be characterized as a separate regime. In general, we do not find any support for the liquidity trap hypothesis. Moreover, we cannot conclude that the response of the demand for money to changes in interest rates was significantly different than in the past. However, we do find that through history the magnitude of the response of money demand to changes in interest rates has been relatively smaller in Japan, suggesting that traditional money demand relationships may not hold.

Suggested Citation

  • Isabelle Weberpals, 1997. "The Liquidity Trap: Evidence from Japan," Staff Working Papers 97-4, Bank of Canada.
  • Handle: RePEc:bca:bocawp:97-4
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    References listed on IDEAS

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    1. Pifer, Howard W, 1969. "A Nonlinear, Maximum Likelihood Estimate of the Liquidity Trap," Econometrica, Econometric Society, vol. 37(2), pages 324-332, April.
    2. Grandmont, Jean-Michel & Laroque, Guy, 1976. "The Liquidity Trap," Econometrica, Econometric Society, vol. 44(1), pages 129-135, January.
    3. Spitzer, John J, 1976. "The Demand for Money, the Liquidity Trap, and Functional Forms," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(1), pages 220-227, February.
    4. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    5. Vigfusson, Robert, 1997. "Switching between Chartists and Fundamentalists: A Markov Regime-Switching Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(4), pages 291-305, October.
    6. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    7. 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.
    8. Barth, James R & Kraft, Arthur & Kraft, John, 1976. "Estimation of the Liquidity Trap Using Spline Functions," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 218-222, May.
    9. White, Kenneth J, 1972. "Estimation of the Liquidity Trap with a Generalized Functional Form," Econometrica, Econometric Society, vol. 40(1), pages 193-199, January.
    10. Simon van Norden & Huntley Schaller & ), 1995. "Speculative Behaviour, Regime-Switching, and Stock Market Crashes," Econometrics 9502003, University Library of Munich, Germany.
    11. Eisner, Robert, 1971. "Non-Linear Estimates of the Liquidity Trap," Econometrica, Econometric Society, vol. 39(5), pages 861-864, September.
    12. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
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    Cited by:

    1. Andreas Humpe & Peter Macmillan, 2007. "Can macroeconomic variables explain long term stock market movements? A comparison of the US and Japan," CDMA Working Paper Series 200720, Centre for Dynamic Macroeconomic Analysis.
    2. Andreas Humpe & Peter Macmillan, 2009. "Can macroeconomic variables explain long-term stock market movements? A comparison of the US and Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 19(2), pages 111-119.

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    More about this item

    Keywords

    International topics; Recent economic and financial developments;

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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