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Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan

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  • Hirokuni Iiboshi
  • Mototsugu Shintani
  • Kozo Ueda

Abstract

We estimate a small-scale macroeconomic model for Japan by taking into account the nonlinearity stemming from the zero lower bound (ZLB) of the nominal interest rate. To this end, we apply the Sequential Monte Carlo Squared method to the case of Japan, where the ZLB has constrained the country's monetary policy for a considerably long period. Employing a nonlinear estimation is crucial to deriving implications for monetary policy. For example, the Bayesian model selection suggests that past experience of recessions reducing the nominal interest rate to zero is carried over to today's monetary policy. However, a nonlinear estimation has little effect on the estimate of the natural rate of interest, which has often been negative since the mid-1990s.

Suggested Citation

  • Hirokuni Iiboshi & Mototsugu Shintani & Kozo Ueda, 2018. "Estimating a Nonlinear New Keynesian Model with a Zero Lower Bound for Japan," Working Papers e120, Tokyo Center for Economic Research.
  • Handle: RePEc:tcr:wpaper:e120
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    References listed on IDEAS

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    1. Richter, Alexander W. & Throckmorton, Nathaniel, 2016. "Are nonlinear methods necessary at the zero lower bound?," Working Papers 1606, Federal Reserve Bank of Dallas.
    2. Hills, Timothy S. & Nakata, Taisuke & Schmidt, Sebastian, 2016. "The Risky Steady State and the Interest Rate Lower Bound," Finance and Economics Discussion Series 2016-9, Board of Governors of the Federal Reserve System (U.S.).
    3. Andrés, Javier & David López-Salido, J. & Nelson, Edward, 2009. "Money and the natural rate of interest: Structural estimates for the United States and the euro area," Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 758-776, March.
    4. Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    5. Yasuo Hirose & Atsushi Inoue, 2016. "The Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 630-651, June.
    6. Alexander Richter & Nathaniel Throckmorton & Todd Walker, 2014. "Accuracy, Speed and Robustness of Policy Function Iteration," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 445-476, December.
    7. Boneva, Lena Mareen & Braun, R. Anton & Waki, Yuichiro, 2016. "Some unpleasant properties of loglinearized solutions when the nominal rate is zero," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 216-232.
    8. Yasuo Hirose & Atsushi Inoue, 2013. "Zero Lower Bound and Parameter Bias in an Estimated DSGE Model," UTokyo Price Project Working Paper Series 012, University of Tokyo, Graduate School of Economics.
    9. Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.
    10. Sugo, Tomohiro & Ueda, Kozo, 2008. "Estimating a dynamic stochastic general equilibrium model for Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(4), pages 476-502, December.
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    Cited by:

    1. Yosuke Okazaki & Nao Sudo, 2018. "Natural Rate of Interest in Japan -- Measuring its size and identifying drivers based on a DSGE model --," Bank of Japan Working Paper Series 18-E-6, Bank of Japan.

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