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The production function approach to the Belgian output gap, estimation of a multivariate structural time series model

Listed author(s):
  • Philippe Moës

A multivariate structural time series model is applied to the factor inputs of a production function to estimate the Belgian output gap. The number of independent cycles and the frequencies are not restricted a priori. Phase shifts are introduced to allow for leads and lags. Over 1983-2004, a 3.5 years periodicity is found in the cycles. The cycles in the participation and unemployment rates are negligible. Two independent cycles hide behind the cycles of the other variables: hours, TFP and capacity utilization. Phase shifts are significant, with hours leading by as much as 3 quarters and capacity utilization lagging.

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File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/13214/1/ber-1100.pdf
File Function: ber-1100
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Article provided by ULB -- Universite Libre de Bruxelles in its journal Brussels economic review.

Volume (Year): 49 (2006)
Issue (Month): 1 ()
Pages: 59-91

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Handle: RePEc:bxr:bxrceb:y:2006:v:49:i:1:p:59-89
Contact details of provider: Web page: http://difusion.ulb.ac.be

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  1. Silvia Fabiani & Ricardo Mestre, 2004. "A system approach for measuring the euro area NAIRU," Empirical Economics, Springer, vol. 29(2), pages 311-341, 05.
  2. Tommaso Proietti & Alberto Musso & Thomas Westermann, 2007. "Estimating potential output and the output gap for the euro area: a model-based production function approach," Empirical Economics, Springer, vol. 33(1), pages 85-113, July.
  3. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
  4. Cécile Denis & Daniel Grenouilleau & Kieran Mc Morrow & Werner Röger, 2006. "Calculating potential growth rates and output gaps - A revised production function approach," European Economy - Economic Papers 2008 - 2015 247, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  5. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
  6. Andrew C. Harvey & Thomas M. Trimbur, 2003. "General Model-Based Filters for Extracting Cycles and Trends in Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 244-255, May.
  7. Siem Jan Koopman & Joao Valle e Azevedo, 2003. "Measuring Synchronisation and Convergence of Business Cycles," Tinbergen Institute Discussion Papers 03-052/4, Tinbergen Institute.
  8. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
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