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Estimating potential output using business survey data in a SVAR framework

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  • Cesaroni, Tatiana

Abstract

Potential output and the related concept of output gap play a central role in the macroeconomic policy interventions and evaluations. In particular, the output gap, defined as the difference between actual and potential output, conveys useful information on the cyclical position of a given economy. The aim of this paper is to propose estimates of the Italian potential GDP based on structural VAR models. With respect to other techniques, like the univariate filters (i.e. the Hodrick-Prescott filter), the estimates obtained through the SVAR methodology are free from end-of-sample problems, thus resulting particularly useful for short-term analysis. In order to provide information on the economic fluctuations, data coming from business surveys are considered in the model. This kind of data, given their cyclical profile, are particularly useful for detrending purposes, as they allow to include information concerning the business cycle activity. To assess the estimate reliability, an end-of-sample revision evaluation is performed. The ability of the cyclical GDP component to detect business cycle turning points is then performed by comparing the estimated output gaps, extracted with different detrending methods, over the expansion and recession phases of the Italian business cycle chronology.

Suggested Citation

  • Cesaroni, Tatiana, 2008. "Estimating potential output using business survey data in a SVAR framework," MPRA Paper 16324, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:16324
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    File URL: https://mpra.ub.uni-muenchen.de/16324/1/MPRA_paper_16324.pdf
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    References listed on IDEAS

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    1. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    2. 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.
    3. St-Amant, P. & van Norden, S., 1997. "Measurement of the Output Gap: A Discussion of Recent Research at the Bank of Canada," Technical Reports 79, Bank of Canada.
    4. Simon van Norden, 1995. "Why Is It So Hard to Measure the Current Output Gap?," Macroeconomics 9506001, EconWPA.
    5. Iris Claus, 2003. "Estimating potential output for New Zealand," Applied Economics, Taylor & Francis Journals, vol. 35(7), pages 751-760.
    6. Peter K. Clark, 1987. "The Cyclical Component of U. S. Economic Activity," The Quarterly Journal of Economics, Oxford University Press, vol. 102(4), pages 797-814.
    7. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    8. A'Hearn, Brian & Woitek, Ulrich, 2001. "More international evidence on the historical properties of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(2), pages 321-346, April.
    9. Cogley, Timothy & Nason, James M., 1995. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
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    Cited by:

    1. Mahmood-ul-Hasan Khan, 2008. "Short Run Effects of an Unanticipated Change in Monetary Policy: Interpreting Macroeconomic Dynamics in Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 4, pages 1-30.
    2. Jérôme Creel & Maurizio Iacopetta, 2015. "Macroeconomic Policy and potential growth," Documents de Travail de l'OFCE 2015-15, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. Roberta De Santis & Tatiana Cesaroni, 2016. "Current Account ‘Core–Periphery Dualism’ in the EMU," The World Economy, Wiley Blackwell, vol. 39(10), pages 1514-1538, October.
    4. Tatiana Cesaroni & Stefano Iezzi, 2017. "The Predictive Content of Business Survey Indicators: Evidence from SIGE," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 75-104, May.
    5. S. Adnan H. A. S. Bukhari & Safdar Ullah Khan, 2008. "Estimating Output Gap for Pakistan Economy: Structural and Statistical Approaches," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 4, pages 31-60.
    6. Cesaroni, Tatiana & De Santis, Roberta, 2015. "Current Account ‘Core-Periphery Dualism’ in the EMU," CEPS Papers 10317, Centre for European Policy Studies.

    More about this item

    Keywords

    potential output; business survey data; structural VAR models; end-of-sample revisions.;

    JEL classification:

    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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