Monetary Policy Based on Stochastic Model Predictive Control

Qian DU

Abstract


“Discretion” and “commitment optimal rule” are two types of monetary policy operations. Commitment optimal rule monetary policy can stabilize the public expected inflation to eliminate endogenous tendency to enhance the credibility of monetary policy, but the lack of flexibility. How to design both prospective, stability, and flexible monetary policy has important practical significance. In this paper, we use time-varying coefficients VAR model to build Chinese macroeconomic model, then by means of stochastic model predictive control to study the rules of monetary policy. The simulation results show the effect of model predictive control is better than “commitment optimal rule” which is based on the linear quadratic optimal control.


Keywords


Monetary policy; TVP-VAR; Stochastic model predictive control

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References


Barro, R. J., & Gordon, D. B. (1983). Rules, discretion and reputation in a model of monetary policy. Journal of Monetary Economics, 12(1), 101-121.

Chan, J. C. C., & Jeliazkov, I. (2009). Efficient simulation and integrated likelihood estimation in state space models. International Journal of Mathematical Modelling & Numerical Optimisation, 1(1-2), 101-120(20).

Giordani, P., & Söderlind, P. (2004). Solution of macromodels with Hansen–Sargent robust policies: Some extensions. Journal of Economic Dynamics and Control, 28(12), 2367-2397.

Hansen, L. P., & Sargent, T. J. (2001). Robust control and model uncertainty. American Economic Review, 91(2), 60-66.

Hansen, L. P., & Sargent, T. J. (2003). Robust control of forward-looking models. Journal of Monetary Economics, 50(3), 581-604.

Hansen, L. P, & Sargent, T. J. (2007). Recursive robust estimation and control without commitment. Journal of Economic Theory, 136(1), 1-27.

Hawkins, R. J., Speakes, J. K., & Dan, E. H. (2014). Monetary policy and PID control. Journal of Economic Interaction & Coordination,

Hokayem, P., Cinquemani, E., & Chatterjee, D., et al. (2012). Stochastic receding horizon control with output feedback and bounded controls. Automatica, 48(1), 77-88.

Kydland, F. E., & Prescott, E. C. (1977). Rules rather than discretion: The inconsistency of optimal plans. The Journal of Political Economy, 473-491.

Rotemberg, J., & Woodford, M. (1997). An optimization-based econometric framework for the evaluation of monetary policy. NBER Macroeconomics Annual, 12, 297-361. MIT Press.

Taylor, J. B. (1993). Discretion versus policy rules in practice. Carnegie-Rochester conference series on public policy. North-Holland, 39, 195-214.




DOI: http://dx.doi.org/10.3968/%25x

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