Post on 30-Dec-2015
description
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?