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Quality measures in non-random sampling: MFI interest rate statistics

Author

Listed:
  • Sandars, Patrick
  • Eleni, Starida
  • Nega, Stamatina
  • Casado, Antonio
  • Buzzi, Maria Rosaria
  • Stacchini, Massimiliano
  • Švedas, Tomas
  • Goes, Wim
  • Bartmann, Martin
  • Ciesla, Norbert
  • Maitland-Smith, Fenella
  • Goggin, Jean
  • Reddig, Jörg
  • Puigvert Gutiérrez, Josep Maria
  • Huerga, Javier
  • Montornès, Jérémi
  • Pérez-Duarte, Sébastien
  • Georgakopoulos, Vasilis
  • Bojaruniec, Piotr
  • Wijas-Jensen, Justyna Anna
  • Kofoed Mandsberg, Rasmus
  • Hofer, Christiane
  • Tibrewal, Anisha

Abstract

Traditional literature on sampling techniques focuses mainly on statistical samples and covers non-random (non-statistical) samples only marginally. Nevertheless, there has been a recent revival of interest in non-statistical samples, given their widespread use in certain fields like government surveys and marketing research, or for audit purposes. This paper attempts to set up common rules for non-statistical samples in which only data on the largest institutions within each stratum are collected. This is done by focusing on the statistics compiled by the European System of Central Banks (ESCB) on the interest rates of monetary financial institutions (MFIs) in countries of the European Union. The paper concludes by proposing a way of establishing common rules for non-statistical samples based on a synthetic measurement of a mean of absolute errors. JEL Classification: C42, E43

Suggested Citation

  • Sandars, Patrick & Eleni, Starida & Nega, Stamatina & Casado, Antonio & Buzzi, Maria Rosaria & Stacchini, Massimiliano & Švedas, Tomas & Goes, Wim & Bartmann, Martin & Ciesla, Norbert & Maitland-Smith, 2013. "Quality measures in non-random sampling: MFI interest rate statistics," Statistics Paper Series 3, European Central Bank.
    • Handle: RePEc:ecb:ecbsps:20133
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    References listed on IDEAS

    as
    1. TallariniJr., Thomas D., 2000. "Risk-sensitive real business cycles," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 507-532, June.
    2. Marco Bee & Roberto Benedetti & Giuseppe Espa, 2007. "A framework for cut-off sampling in business survey design," Department of Economics Working Papers 0709, Department of Economics, University of Trento, Italia.
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    Keywords

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    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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