Design of a Multi-Stage Stratified Sample for Poverty and Welfare Monitoring with Multiple Objectives : A Bangladesh Case Study
This paper describes the design of a multi-stage stratified sample for the Bangladesh Household Income and Expenditure Survey 2016/17. This survey instrument will be used by the Government of Bangladesh to estimate reliable poverty and welfare stat...
| Main Authors: | , , , |
|---|---|
| Format: | Working Paper |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2017
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/480321488461618499/Design-of-a-multi-stage-stratified-sample-for-poverty-and-welfare-monitoring-with-multiple-objectives-a-Bangladesh-case-study http://hdl.handle.net/10986/26239 |
| Summary: | This paper describes the design of a
multi-stage stratified sample for the Bangladesh Household
Income and Expenditure Survey 2016/17. This survey
instrument will be used by the Government of Bangladesh to
estimate reliable poverty and welfare statistics at three
different levels: (i) annual estimates at the district
level, (ii) quarterly estimates at the national level, and
(iii) annual estimates at the division level for urban and
rural areas. The sample for this survey was designed to
achieve these three objectives. The paper explains how the
three objectives are prioritized and how inconsistencies in
achieving more than one objective can be reconciled.
Further, the paper modifies the standard formulas to
estimate the optimal sample size and the allocation of the
sample across strata by explicitly taking into consideration
the effect of clustering in the sample. |
|---|