Workshop on Concepts & Methods for
Producing Disaggregated Statistics Using Census Data
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| Bangkok, 20-23 September 2011 |
| Last update: 23 September 2011 |
| Governments of developing countries and the international development community have made great strides during the last decade in improving data collection and the development of tools needed for the production of disaggregated statistics in support of achieving the MDGs in the region. These efforts, however, have yet to translate into sustained capacity of national statistical systems of many countries in the region to produce MDG-related disaggregated statistics.
As part of the ESCAP/ADB/UNDP regional programme on “Supporting the Achievement of the MDGs in Asia and the Pacific”, ESCAP is supporting a selected number of countries in strengthening the capacity of their national statistical systems to — (a) tabulate MDG-related disaggregated statistics and indicators from population and housing census data; (b) apply small-area estimation techniques for producing MDG-related indicators at disaggregated levels; and (c) prepare a master sampling frame, or master sample, for household surveys.
This 4-day workshop brought together experts from potential project partner countries and provided a forum where participants were:
- To explore the concepts and statistical methods relating to small area estimation and master sample methodologies that the project proposes to develop and apply;
- To discuss challenges, such as data availability and methodological gaps, and identify potential solutions that the project could test; and
- To review and finalise country proposals based on the workshop discussions and conclusions.
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| Concept note |
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| Tentative programme |
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| Directory of participants |
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Presentation |
| Session 1 - The Basics of Producing Disaggregated Statistics: What, why and a little bit on how |
| Small Area Estimation (SAE):
Introduction |
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| Session 2a - Master Samples: Basic Theory and Practice |
Master Sample; Introduction  |
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| Sample Size Allocation and Stratification |
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| Survey Weights and
Uniform Selection
Probabilities |
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| Session 2b - Small Area Estimation Methods: Basic Theory and Practice |
| Small Area Estimation (SAE);
Overview of methods |
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| Small Area Estimation of Philippine Poverty Statistics |
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| Small Area Estimation (SAE); Model specification and estimation methods |
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| Session 3a - Master Samples: Design and Implementation |
| Relevant Design Issues |
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| Setting of Domains,
Primary Sampling Units |
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| Session 3b - Small Area Estimation: Design and Implementation |
| Small Area estimation of some Philippine Health Statistics |
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| PovTar: an application of SAE to poverty mapping |
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| Session 4 - Better Proposals towards Country Work on Improved Disaggregated Statistics |
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| Reference |
Small Area Estimation: A Review of Methods Based on the
Application of Mixed Models, University of Southampton |
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