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Unobservable-Components Estimates of Output Gaps in Five Asian Economies

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  • Gerlach, Stefan
  • Yiu, Matthew

Abstract

This Paper estimates output gaps for Hong Kong, Korea, the Philippines, Singapore and Taiwan, employing the HP filter and unobservable-components (UC) techniques. The latter approach assumes that actual output is the sum of potential output, which follows a random walk with a time-varying drift, and a stationary output gap. While the results imply that UC methods are useful in estimating output gaps in Asia, simple Phillips curves suggest that the information contents of the two measures of the gap are essentially identical. The main advantage of the UC technique is that it allows the construction of confidence bands for the gap.

Suggested Citation

  • Gerlach, Stefan & Yiu, Matthew, 2002. "Unobservable-Components Estimates of Output Gaps in Five Asian Economies," CEPR Discussion Papers 3393, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:3393
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Hans Genberg, 2003. "Foreign Versus Domestic Factors as Souces of Macroeconomic Fluctuations in Hong Kong," Working Papers 172003, Hong Kong Institute for Monetary Research.
    2. Emilian Dobrescu, 2006. "Integration of Macroeconomic Behavioural Relationships and the Input-output Block (Romanian Modelling Experience)," EcoMod2006 272100018, EcoMod.
    3. Dobrescu, Emilian, 2006. "Double-Conditioned Potential Output," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 3(1), pages 32-50, March.
    4. Nepal Rastra Bank, 2017. "Potential Output and Output Gap Estimates for Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 29(2), pages 1-14, October.

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    More about this item

    Keywords

    Output gaps; Unobservable components; Kalman filtering;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

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