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Analyzing and Forecasting Business Cycles in a Small Open Economy : A Dynamic Factor Model for Singapore

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  • Hwee Kwan Chow

    (SMU)

  • Keen Meng Choy

Abstract

A dynamic factor model is applied to a large panel dataset of Singapores macroeconomic variables and global economic indicators with the initial objective of analyzing business cycles in a small open economy. The empirical results suggest that four common factors are present in the quarterly time series, which can broadly be interpreted as world, regional, electronics and domestic economic cycles. The estimated factor model explains well the observed fluctuations in real economic activity and price inflation, leading us to use it in forecasting Singapores business cycles. We find that the forecasts generated by the factors are generally more accurate than the predictions of univariate models and vector autoregressions that employ leading indicators.

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Bibliographic Info

Paper provided by East Asian Bureau of Economic Research in its series Macroeconomics Working Papers with number 22074.

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Date of creation: Jan 2009
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Handle: RePEc:eab:macroe:22074

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Keywords: Business cycle; Dynamic factor model; Forecasting; Singapore;

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Cited by:
  1. Mendoza, Liu & Morales, Daniel, 2012. "Constructing a real-time coincident recession index: an application to the Peruvian economy," Working Papers, Banco Central de Reserva del Perú 2012-020, Banco Central de Reserva del Perú.
  2. Mapa, Dennis S. & Simbulan, Maria Christina, 2014. "Analyzing and Forecasting Movements of the Philippine Economy using the Dynamic Factor Models (DFM)," MPRA Paper, University Library of Munich, Germany 54478, University Library of Munich, Germany.
  3. Mendoza, Liu & Morales, Daniel, 2013. "Construyendo un índice coincidente de recesión: Una aplicación para la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, Banco Central de Reserva del Perú, issue 26, pages 81-100.

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