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Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models

Author

Listed:
  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Alain Kabundi

    (Department of Economics and Econometrics, University of Johannesburg)

Abstract

This paper compares the forecasting ability of five alternative types of models in predicting four key macroeconomic variables, namely, per capita growth rate, the CPI inflation, the money market rate, and the growth rate of the nominal effective exchange rate for the South African economy. Unlike the theoretical Small Open Economy New Keynesian Dynamic Stochastic General Equilibrium, the unrestricted VAR, and the small-scale Bayesian Vector Autoregressive models, which are estimated based on four variables, Dynamic Factor Models and the large-scale BVAR models use information from a data-rich environment containing 266 macroeconomic time series observed over the period of 1983:01 to 2002:04. The results, based on Root Mean Square Errors, for one- to eight-quarters-ahead out-of-sample forecasts over the horizon of 2003:01 to 2006:04, show that, except for the growth rate of the of nominal effective exchange rate, large-scale BVARs outperform the other four types of models consistently and, generally, significantly.

Suggested Citation

  • Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:200830
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Small Open Economy New Keynesian Dynamic Stochastic Model; Dynamic Factor Model; VAR; BVAR; Forecast Accuracy;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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