IMF Working Papers

A Macro-Model Approach to Monetary Policy Analysis and Forecasting for Vietnam

By Allan Dizioli, Jochen M. Schmittmann

December 23, 2015

Download PDF

Preview Citation

Format: Chicago

Allan Dizioli, and Jochen M. Schmittmann A Macro-Model Approach to Monetary Policy Analysis and Forecasting for Vietnam, (USA: International Monetary Fund, 2015) accessed November 23, 2024
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

The paper develops a small New-Keynesian FPAS model for Vietnam. The model closely matches actual data from 2000-2014. We derive an optimal monetary policy rule that minimizes variability of output, inflation, and the exchange rate. Compared to the baseline model, the optimal rule places a larger weight on output stabilization as the intermediate target to achieve inflation stability, while allowing greater exchange rate flexibility. We analyze the dynamics of key macro variables under various shocks including external and domestic demand shocks and a lift-off of U.S. interest rates. We find that the optimal monetary policy rule delivers greater macroeconomic stability for Vietnam under the shock scenarios.

Subject: Exchange rates, Financial services, Foreign exchange, Inflation, Inflation targeting, Monetary policy, Output gap, Prices, Production, Real interest rates

Keywords: Bayesian Estimation, Demand shock, Exchange rates, Food inflation Phillips Curve, Fuel inflation, Global, Inflation, Inflation stability, Inflation Targeting, Monetary Policy, Monetary policy rule, Nominal exchange rate, Nominal interest rate, Output gap, Real interest rates, WP

Publication Details

  • Pages:

    25

  • Volume:

    ---

  • DOI:

    ---

  • Issue:

    ---

  • Series:

    Working Paper No. 2015/273

  • Stock No:

    WPIEA2015273

  • ISBN:

    9781513595665

  • ISSN:

    1018-5941