The Cost Efficiency of Sampling Designs

• Authors: Liberts Mārtiņš
• Languages of publication: EN

Abstracts

EN

The aim of a sample survey is to obtain high quality estimates of population parameters with low cost. The expected precision of estimates and the expected data collection cost are usually unknown making the choice of sampling design a complicated task. Analytical methods can not be used often because of the complexity of the sampling design or data collection process. The aim of this paper is to develop a mathematical framework to compare chosen sampling designs with respect to the expected precision of estimates and the data collection cost. As a result a framework is developed which employs artificial population data generation, survey sampling techniques, survey cost modelling, Monte Carlo simulation experiments and other techniques. The framework is applied to analyse the cost efficiency of the sampling design currently used for the Latvian Labour Force Survey.

Keywords

EN

cost efficiency; simulation study; survey cost estimation; survey methodology; variance of estimators

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2013
• Volume: 14
• Issue: 1
• Pages: 7-30

Contributors

author

Liberts Mārtiņš

• University of Latvia

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