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Regional and Global Estimates of Primary Enrollment Rates in African Countries

This task focuses on generating regional and global estimates of primary enrollment rates in African countries, addressing missing data, weighting, level, trend analysis, and implications of missingness patterns. The discussion includes imputation methods, weighting strategies, and the impact of country dominance on aggregate results. The role of diagnostics in assessing data quality and communicating findings is emphasized.

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Regional and Global Estimates of Primary Enrollment Rates in African Countries

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Presentation Transcript

  1. TASK • Assume National Values • How to Generate Regional and Global Estimates • Missing Data • Weighting • Level and Trend • Why?

  2. Missing Data • Patterns of Missingness

  3. 120 Botswana Bur. Faso 100 Burundi 80 DR Congo Lesotho 60 Malawi 40 Mozam 20 Namibia Rwanda 0 S A 1990 1991 1992 1993 1994 1995 1996 1997 1998 Swaziland Years Zambia Primary Enrolment Rates: African Countries

  4. Imputation • None • Explicit or Implicit • Time Series – whole or partial-within country • Pooling information from ‘neighbours’ • Auxiliary Information • Diagnostics?

  5. Aggregation Mainly straightforward • Weighted aggregation • Choice of appropriate weights • Diagnostics • Rules of suppression vary • % region, % countries • The China Question • Dominance of large coutries

  6. Estimating Change / Trends • What is purpose • Summarise progress of region • Summarise progress of countries within region • Role of weights • Changing mix of countries • No new Data • Diagnostics • Communication

  7. Documentation • What, where, how?

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