Conferences

The data from the Ukrainian Labour Force Survey (LFS) are widely used for estimation of key socio-economic indicators for social policy making by different users at the national and regional levels. This motivates the intensive development of research on survey data quality improvement in the Ukrainian official statistical system. Pursuing modern international standards of statistical information quality, research is directed toward development and implementation of complex approaches to estimation of quality indicators and improvement of quality.

The presentation will discuss the system of key quality indicators for the assessment of quality of LFS data and the influence exercised on it by the data processing procedures. It is shown that using a system of complex statistical weights, which is built with an accurate account of the sample rotation scheme, non-response patterns and auxiliary information, enables us to improve the reliability of LFS data.

Special attention is paid to developing methods of indirect estimation of monthly labour force indicators and assessment of their influence on some quality indicators of reliability, timeliness, comparability and coherence. The basic results of these approaches realization are presented.
Issues related to the development of special approaches which allow improving of LFS data quality for the lowest data aggregation levels will be discussed.