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Flexible Data Collection Methods: Key Elements for Improved Statistical Cooperation

Explore the essential factors influencing the development of statistical data collection methods, as presented by Aija Žīgure and Ilze Skujeniece. This overview discusses appropriate ways to collect data tailored to specific usage goals, the dynamics of a changing world, and the challenges posed by new technologies. It examines methodologies like surveys, interviews, and administrative data, highlighting the advantages and disadvantages of each approach. The presentation concludes with recommendations for combining data collection methods to enhance efficiency and meet urgent information needs.

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Flexible Data Collection Methods: Key Elements for Improved Statistical Cooperation

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Presentation Transcript

  1. Ways of statistical data collection - the key element for flexible cooperation with data users Aija Žīgure, President Central Statistical Bureau of Latvia Ilze Skujeniece Director Business StatisticsDepartment

  2. Content • Key factors that influence the development of data collection methods • Appropriate ways of data collection • Statistical data – accordingly to the aim of use • Obtaining of statistical data • Ways of obtaining data • The possible extra “price” for accelerated data • Conclusions

  3. Key factors that influence the development of data collection methods • The changeable world, changes in the economic situation • Priorities of the public interest • Challenges of the use of new technologies • The use of the creative research in the analysis of ways of data obtaining

  4. Appropriate ways of data collection Evaluation of the ways of data obtaining – an inseparable complex Inventory Analysis New or improved set of data Implementation Recommendations

  5. Statistical data – accordingly to the aim of use • Long-term - data series, when data are obtained for years, and they allow to do research for the estimation of economic trends and projections • Provisional – data that characterize not only changes of phenomena in a shorter period of time, but also that are collected for the characterization of a concrete economic or social problem

  6. Obtaining of statistical data • Increasing demand for flash estimates using official statistics data • Comparison of data collection methods – advantages/disadvantages • Quality and timeliness of data • The possible extra “price” for accelerated data

  7. Ways of obtaining data Comparison of data collection methods – advantages/disadvantages • Questionnaires in a paper format • E-surveys (Internet) • CAPI and CATI • Administrative data • Use of the existing micro-data

  8. Ways of obtaining data(cont.) • Visits to enterprises • Extensible Business Reporting Language • Mirror statistics • Interviews

  9. Ways of obtaining data(cont.)

  10. Enterprises using Internet for interaction with public authorities(% of enterprises, excluding the financial sector, employing 10 persons or more)

  11. Purposes of Internet use in enterprises for interaction with public authorities; 2009(% of enterprises, excluding the financial sector, employing 10 persons or more)

  12. Use of administrative data in Structural Business Statistics; 2006 and 2009(% of economically active enterprises)

  13. The possible extra “price” for accelerated data • Limited time for data collection • Increasing use of estimated data • Increasing use of administrative and other external information • Growing necessity for data revisions • Unplanned use of resources

  14. Conclusions • Combining several ways of data obtaining and submission for one survey • For each group of respondents to work out own combination of ways of data submission • Use of administrative data more completely • Special surveys for a definite kind of activity or group • Short-term statistics should meet the most urgent needs for topical information in the changeable environment

  15. Thank you for your attention!

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