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Constructing a monthly GDP indicator for Suriname

Author

Listed:
  • Sailesh Anand BHAGHOE
  • Karel ECKHORST

    (Suriname)

Abstract

Advancements in data collection and data processing techniques revolutionized access to higher frequency data. A large body of literature focusses on these higher frequency data in advanced economies. In contrast, small less-developed economies often lack adequate and reliable databases of high-frequency economic indicators. We construct a monthly GDP indicator, using a well-established statistical methodology. To monitor the quality of the indicator, we treat it as an in-sample forecast with respect to December observation of GDP for 2012 -2018. The results show that the constructed monthly GDP indicator is reliable and therefore its methodology applicable in many small developing countries.

Suggested Citation

  • Sailesh Anand BHAGHOE & Karel ECKHORST, 2019. "Constructing a monthly GDP indicator for Suriname," Journal of Economics Library, EconSciences Journals, vol. 6(4), pages 310-323, December.
    • Handle: RePEc:cvv:journ5:v:6:y:2019:i:4:p:310-323
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    References listed on IDEAS

    as
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    4. Cotrie, Gladys & Craigwell, Roland & Maurin, Alain, 2009. "A review of leading composite indicators: making a case for their use in Caribbean economies," MPRA Paper 33390, University Library of Munich, Germany, revised 2009.
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    Keywords

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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