Chapter 6 Administrative registers
The objective of this chapter is to describe the characteristics and usefulness of administrative registers as sources of information
- To construct and maintain sample frame for selecting sample of persons, households or establishments,
- To produce statistics on work-related income, in particular wage rates;
- To use in combination with household surveys and establishment surveys to produce statistics on work-related income.
Each of these uses will be illustrated with examples form national practices. As administrative registers will have been discussed already in Chapters 4 and 5, it may be decided include the separate elements of this chapter in Chapters 4 and 5, instead of as a separate chapter 6, depending on readability.
Chapter 7 . From survey data to statistics and indicators
This chapter will deal with construction of derived variables and indicators. It will contain flowcharts and recommended basic tabulations. It will also discuss how to interpret them, taking into account quality issue and limitations in their use; the importance of understanding worker coverage and the working-time characteristics of worker covered (full-time, part-time, full-time equivalents, etc.) And when household surveys data are used, whether measurement corresponds to all jobs or only main job (or work activity) This part will be illustrated with practical examples from countries, and with references for additional reading.
- The chapter will also discuss strategies for good presentation of statistics, in particular when more than one series in available, so that they will be understood by users, and be used correctly (i.e., the importance of sufficient metadata and effective dissemination channels) Each of these strategies will be accompanied by practical examples from countries, and with references for additional reading.
- Finally, The chapter will briefly discuss strategies to increase timeliness of the statistics, such as using automated validation programs, top down editing, modeling and imputation, and disseminating aggregated results first, followed by more detailed estimates afterwards. For each of these strategies, references will be provide. National examples and reference will also be provided.