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Time series for main variables on the performance of Dutch SMEs

  • Ton Kwaak
  • Werner Liebregts
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    National Accounts provide detailed information on the development of the economy detailed by sector of industry. However, a disaggregation by enterprise size class is not available. The available data on the size class structure of the economy shows huge and unrealistic fluctuations and can therefore not directly be used to disaggregate the information from National Accounts. This paper reviews some methods to smooth developments shown in source data with respect to the share of small, medium-sized and large enterprises. It appears that in principle, the Hodrick-Prescott filter is most suited to fulfill this task. A modified Hodrick-Prescott filter is used. In particular, the simultaneous smoothing of interrelated series, taking into account the definitional relations existing between them, performs quite well. The methodology has been tested for two rather different sectors of industry, i.e. chemical industry (large-scaled, business-to-business oriented, capital-intensive) and retail trade (small-scaled, oriented towards consumers, labor-intensive). It appears that adjusted series, according to industry experts, give a more realistic description of historical developments than the original series do. �

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    File URL: http://www.entrepreneurship-sme.eu/pdf-ez/H201204.pdf
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    Paper provided by EIM Business and Policy Research in its series Scales Research Reports with number H201204.

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    Length: 28 pages
    Date of creation: 20 Mar 2012
    Date of revision:
    Handle: RePEc:eim:papers:h201204
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    Web page: http://www.entrepreneurship-sme.eu/Email:


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    1. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    2. Hildegart Ahumada & María Lorena Garegnani, 2000. "Assesing HP Filter Performance for Argentina and U.S. Macro Aggregates," Journal of Applied Economics, Universidad del CEMA, vol. 0, pages 257-284, November.
    3. Ulrich Woitek, 1998. "A Note on the Baxter-King Filter," Working Papers 9813, Business School - Economics, University of Glasgow.
    4. Hildergart Ahumada & Lorena Garegnani, 1999. "Hodrik – Prescott filter in practice," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 0(4), pages 61-76.
    5. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1, November.
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