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A leading indicator for the Dutch economy; methodological and empirical revision of the CPB system

Author

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  • Henk Kranendonk

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • Jan Bonenkamp
  • Johan Verbruggen

Abstract

Since 1990, CPB Netherlands Bureau for Economic Policy Analysis (CPB) has used a leading indicator in preparing short-term forecasts for the Dutch economy. This paper describes some recent methodological innovations as well as the current structure and empirical results of the revised CPB leading indicator. Special attention has been paid to the role and significance of IFO data. The structure of the CPB leading indicator is tailored to its use as a supplement to model-based projections, and thus has a unique character in several respects. The system of the CPB leading indicator is composed of ten separate composite indicators, seven for expenditure categories (‘demand’) and three for the main production sectors (‘supply’). This system approach has important advantages over the usual structure, in which the basis series are directly linked to a single reference series. The revised system, which uses 25 different basic series, performs quite well in describing the economic cycle of the GDP, in indicating the upturns and downturns, and in telling the story behind the business cycle.

Suggested Citation

  • Henk Kranendonk & Jan Bonenkamp & Johan Verbruggen, 2004. "A leading indicator for the Dutch economy; methodological and empirical revision of the CPB system," CPB Discussion Paper 32, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:discus:32
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    References listed on IDEAS

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    Cited by:

    1. Mazhar Y. Mughal & Junaid Ahmed, 2014. "Remittances and Business Cycles: Comparison of South Asian Countries," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 513-541, December.
    2. Andrea Tkáčová & Veronika Kišová, 2017. "Zmeny zloženia kompozitného predstihového indikátora Slovenska v čase [Changes of Composite Leading Indicator Composition over Time]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(5), pages 583-600.
    3. Mazhar Y. Mughal & Junaid Ahmed, 2014. "Remittances and Business Cycles: Comparison of South Asian Countries," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 513-541, December.

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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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