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A New Method For The Estimation Of Capacity Utilization: Theory And Empirical Evidence From 14 Eu Countries

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  • Theologos Dergiades
  • Lefteris Tsoulfidis

Abstract

In this paper, we develop a new and at the same time simple method of obtaining a measure of the rate of capacity utilization (CU) which makes use of the structural vector autoregression (SVAR) system of equation estimating technique with long‐run restrictions. The measure of CU that we derive for each of 14 EU countries replicates to a great extent the European Commission's Directorate General for Economic and Financial Affairs (ECFIN) measure. On closer examination we find that the in‐sample explanatory content with respect to the inflation rate of the SVAR measure exceeds more often than not that of the ECFIN's measure; however, the out‐of‐sample forecasting performance of the two models is approximately equivalent.

Suggested Citation

  • Theologos Dergiades & Lefteris Tsoulfidis, 2007. "A New Method For The Estimation Of Capacity Utilization: Theory And Empirical Evidence From 14 Eu Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 59(4), pages 361-381, October.
  • Handle: RePEc:bla:buecrs:v:59:y:2007:i:4:p:361-381
    DOI: 10.1111/j.0307-3378.2007.00263.x
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    1. Maral Kichian, 1999. "Measuring Potential Output within a State-Space Framework," Staff Working Papers 99-9, Bank of Canada.
    2. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    3. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    4. Viv B. Hall & C. John McDermott, 2007. "Regional business cycles in New Zealand: Do they exist? What might drive them?," Papers in Regional Science, Wiley Blackwell, vol. 86(2), pages 167-191, June.
    5. Michael Dotsey & Tom Stark, 2005. "The relationship between capacity utilization and inflation," Business Review, Federal Reserve Bank of Philadelphia, issue Q2, pages 8-17.
    6. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    7. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    8. Carol Corrado & Joe Mattey, 1997. "Capacity Utilization," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 151-167, Winter.
    9. Berndt, Ernst R. & Hesse, Dieter M., 1986. "Measuring and assessing capacity utilization in the manufacturing sectors of nine oecd countries," European Economic Review, Elsevier, vol. 30(5), pages 961-989, October.
    10. Norman J. Morin & John J. Stevens, 2004. "Estimating capacity utilization from survey data," Finance and Economics Discussion Series 2004-49, Board of Governors of the Federal Reserve System (U.S.).
    11. Cooley, Thomas F. & Dwyer, Mark, 1998. "Business cycle analysis without much theory A look at structural VARs," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 57-88.
    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Cited by:

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    2. Jan-Egbert Sturm & Michael Graff, 2009. "Schätzung der Outputlücke," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 3(2), pages 55-67, June.
    3. Benan ERES, 2011. "Alternative Measures of Rate of Capacity Utilization for the Turkish Economy: A Comparative Analysis in Means of Adequacy for Empirical Investigation and Growth Models," Sosyoekonomi Journal, Sosyoekonomi Society, issue 16(16).
    4. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2021. "Climate sentiments, transition risk, and financial stability in a stock-flow consistent model," Journal of Financial Stability, Elsevier, vol. 54(C).
    5. Boikos, Spyridon, 2020. "Capital utilization, obsolescence and technological progress," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    6. Chris Heerden & Riaan Rossouw, 2014. "Resource utilisation Efficiency: A South African Provincial Evaluation," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 475-492, December.
    7. Dunz, Nepomuk & Naqvi, Asjad & Monasterolo, Irene, 2019. "Climate Transition Risk, Climate Sentiments, and Financial Stability in a Stock-Flow Consistent approach," Ecological Economic Papers 23, WU Vienna University of Economics and Business.

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