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Forecasting economic growth for Estonia : application of common factor methodologies

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  • Christian Schulz

Abstract

In this paper, the application of two different unobserved factor models to a data set from Estonia is presented. The small-scale state-space model used by Stock and Watson (1991) and the large-scale static principal components model used by Stock and Watson (2002) are employed to derive common factors. Subsequently, using these common factors, forecasts of real economic growth for Estonia are performed and evaluated against benchmark models for different estimation and forecasting periods. Results show that both methods show improvements over the benchmark model, but not for the all the forecasting periods

Suggested Citation

  • Christian Schulz, 2007. "Forecasting economic growth for Estonia : application of common factor methodologies," Bank of Estonia Working Papers 2007-09, Bank of Estonia, revised 04 Sep 2007.
    • Handle: RePEc:eea:boewps:wp2007-09
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    References listed on IDEAS

    as
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    Cited by:

    1. Jan HANOUSEK & Evžen KOČENDA, 2009. "Public investment and growth in New EU member states: an overview," Departmental Working Papers 2009-23, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Mapa, Dennis S. & Simbulan, Maria Christina, 2014. "Analyzing and Forecasting Movements of the Philippine Economy using the Dynamic Factor Models (DFM)," MPRA Paper 54478, University Library of Munich, Germany.

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    More about this item

    Keywords

    Estonia; forecasting; principal components; state-space model; forecast perfomance;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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