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Output gap measure based on survey data

Author

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  • Michał Hulej
  • Grzegorz Grabek

Abstract

Following Nyman (2010), the paper provides an indicator of resource utilisation (RU) for the Polish economy based on survey and labour market data. The indicator is subsequently used to identify output gap. Using real-time dataset, we find that output gap constructed in this way is revised to a similar or (in recent years) lesser extent than a measure based on the Hodrick and Prescott filter and structural approach. Also, the output gap based on the RU indicator performs comparably to other approaches as a proxy of inflation pressure: real-time data evaluation exercise reveals that RMSE of Phillips curve inflation forecasts with the RU indicator-based output gap is similar to the RMSE of equivalent specifications with alternative gap measures.

Suggested Citation

  • Michał Hulej & Grzegorz Grabek, 2015. "Output gap measure based on survey data," NBP Working Papers 200, Narodowy Bank Polski, Economic Research Department.
  • Handle: RePEc:nbp:nbpmis:200
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    File URL: http://www.nbp.pl/publikacje/materialy_i_studia/200_en.pdf
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    References listed on IDEAS

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    1. Clark, Todd E. & McCracken, Michael W., 2006. "The Predictive Content of the Output Gap for Inflation: Resolving In-Sample and Out-of-Sample Evidence," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1127-1148, August.
    2. Katarzyna Budnik & Michal Greszta & Michal Hulej & Marcin Kolasa & Karol Murawski & Michal Rot & Bartosz Rybaczyk & Magdalena Tarnicka, 2009. "The new macroeconometric model of the Polish economy," NBP Working Papers 62, Narodowy Bank Polski, Economic Research Department.
    3. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    4. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    1. repec:asi:aeafrj:2019:p:267-284 is not listed on IDEAS

    More about this item

    Keywords

    Principal component; Output gap; Trend-cycle decomposition; Inflation forecast; Real-time analysis.;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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