Bojaruniec, Piotr Huerga, Javier Pérez-Duarte, Sébastien Puigvert Gutiérrez, Josep Maria Sandars, Patrick Wijas-Jensen, Justyna Anna Kofoed Mandsberg, Rasmus Hofer, Christiane Reddig, Jörg Goggin, Jean Eleni, Starida Georgakopoulos, Vasilis Nega, Stamatina Casado, Antonio Montornès, Jérémi Buzzi, Maria Rosaria Stacchini, Massimiliano Švedas, Tomas Goes, Wim
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.
interest rates and non-statistical samples sampling