TASK

• Assume National Values

• How to Generate Regional and Global Estimates– Missing Data– Weighting– Level and Trend

• Why?

Missing Data

• Patterns of Missingness

Primary Enrolment Rates: African Countries

0

20

40

60

80

100

120

1990 1991 1992 1993 1994 1995 1996 1997 1998

Years

BotswanaBur. FasoBurundiDR CongoLesothoMalawiMozamNamibiaRwandaS ASwazilandZambia

Imputation

• None

• Explicit or Implicit

• Time Series – whole or partial-within country

• Pooling information from ‘neighbours’

• Auxiliary Information

• Diagnostics?

Aggregation

Mainly straightforward• Weighted aggregation

– Choice of appropriate weights

• Diagnostics– Rules of suppression vary

• % region, % countries

– The China Question– Dominance of large coutries

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

Documentation

• What, where, how?