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Estimation of the Euro Area Output Gap Using the NAWM

Author

Listed:
  • Günter Coenen

    (European Central Bank)

  • Frank Smets

    (European Central Bank)

  • Igor Vetlov

    (Bank of Lithuania)

Abstract

This paper presents preliminary estimates of the euro area flexible-price output gap using the estimated version of the New Area-Wide Model (NAWM) - a large-scale DSGE model of the euro area developed and maintained by ECB staff. Following a definition of the flexible-price output gap frequently used in the literature, we show that the NAWM-based measure may at times differ quite considerably from more traditional output gap measures and may display fluctuations of larger amplitude. The dynamics of flexible-price output is mainly driven by shocks to technology, whereas fluctuations in the output gap can be attributed equally to supply and demand shocks. We analyse how robust this output gap estimate is with respect to new incoming data and compare it's inflation forecast performance with alternative measures.

Suggested Citation

  • Günter Coenen & Frank Smets & Igor Vetlov, 2009. "Estimation of the Euro Area Output Gap Using the NAWM," Bank of Lithuania Working Paper Series 5, Bank of Lithuania.
    • Handle: RePEc:lie:wpaper:5
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    References listed on IDEAS

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    Cited by:

    1. Takuji Fueki & Ichiro Fukunaga & Hibiki Ichiue & Toyoichiro Shirota, 2016. "Measuring Potential Growth with an Estimated DSGE Model of Japan’s Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 1-32, March.
    2. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    3. Guy Segal, 2017. "To Respond or Not to Respond: Measures of the Output Gap in Theory and in Practice," International Journal of Central Banking, International Journal of Central Banking, vol. 13(2), pages 73-120, June.
    4. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
    5. Luca Sala & Ulf Soderstrom & Antonella Trigari, 2010. "The Output Gap, the Labor Wedge, and the Dynamic Behavior of Hours," Working Papers 365, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Haykaz Igityan & Hovhannes Manukyan, 2020. "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers 14, Central Bank of the Republic of Armenia.
    7. Lorenzo Burlon & Paolo D'Imperio, 2019. "The euro-area output gap through the lens of a DSGE model," Questioni di Economia e Finanza (Occasional Papers) 477, Bank of Italy, Economic Research and International Relations Area.
    8. Gelain, Paolo, 2010. "The external finance premium in the euro area A useful indicator for monetary policy?," Working Paper Series 1171, European Central Bank.
    9. Burlon, Lorenzo & D’Imperio, Paolo, 2020. "Reliable real-time estimates of the euro-area output gap," Journal of Macroeconomics, Elsevier, vol. 64(C).
    10. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Papers 115, National Institute of Economic Research.
    11. Nadine Yamout, 2022. "Potential Output in a Commodity‐Exporting Economy," The Economic Record, The Economic Society of Australia, vol. 98(320), pages 42-62, March.
    12. Igor Vetlov & Tibor Hlédik & Magnus Jonsson & Henrik Kucsera & Massimiliano Pisani, 2011. "Potential Output in DSGE Models," Bank of Lithuania Working Paper Series 9, Bank of Lithuania.
    13. Sharma, Saurabh & Behera, Harendra, 2022. "A dissection of Indian growth using a DSGE filter," Journal of Asian Economics, Elsevier, vol. 80(C).

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    More about this item

    Keywords

    output gap; DSGE modelling; Bayesian inference; euro area;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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