Official household surveys are important sources of information: they support policy and decision-making for a wide range of government programs. The uses of household survey data are broad, from monitoring the well-being of the population and the effectiveness of programs, to conducting micro-impact assessments of various economic events and policy measures. Good quality survey data is essential, therefore, for a number of government objectives.
The benefits of survey data depend on the quality of the survey itself. Good quality survey data is attained through sound sampling and weighting strategies which are implemented during the design stage. The official statistical offices of Central Asian countries are constantly seeking ways to improve their methodology for sample design and estimating sample weights.
In response to this increased demand for knowledge, the World Bank, in cooperation with national statistical offices in Central Asia, has organized a hands-on workshop for survey sampling and weighting.
The objective of the workshop is to promote a better understanding of sample design and weighting methods for household surveys and strengthening its practical application. The workshop will help the statistics offices improve data quality by reducing statistical bias from non-response.The workshop features both theoretical concepts and practical implementation of methods using statistical software.
This event is geared towards statistical-practitioners involved in sample design from the national statistics offices of Kazakhstan, the Kyrgyz Republic, Tajikistan, Turkmenistan and Uzbekistan. The regional event will not only serve as a training workshop, but will allow for close interaction and experience-sharing among statistical offices, and thereby building bilateral connections for knowledge exchange moving forward.