Developing a Master Sample Design for Household Surveys in Developing Countries: A Case Study in Bangladesh

Maligalig, Dalisay S. and Martinez Jr., Arturo (2013) Developing a Master Sample Design for Household Surveys in Developing Countries: A Case Study in Bangladesh. Survey Methods: Insights from the Field, . doi:10.13094/SMIF-2013-00009


Author Maligalig, Dalisay S.
Martinez Jr., Arturo
Title Developing a Master Sample Design for Household Surveys in Developing Countries: A Case Study in Bangladesh
Journal name Survey Methods: Insights from the Field
ISSN 2296-4754
Publication date 2013
Sub-type Article (original research)
DOI 10.13094/SMIF-2013-00009
Open Access Status DOI
Total pages 24
Place of publication Lausanne, Switzerland
Publisher FORS
Language eng
Abstract For evidence-based policy making, socio-economic planners need reliable data to evaluate existing economic policies. While household surveys can serve as a rich source of socio-economic data, conducting them often entails a great deal of administrative, technical and financial resources. With limited resources for data collection, this often puts pressure on national statistical systems to meet the continuously growing data demand of its stakeholders, especially in developing countries. Using a master sample design that can be used to select samples for multiple household surveys provides an opportunity to minimize the resources needed to collect household survey data regularly. In particular, using the same sampling design and frame to select samples either for multiple surveys of different content or for different rounds of the same survey could induce significant cost-savings instead of developing an independent design each time a household survey is to be carried out. This paper provides a step-by-step guide for developing a master sample design for household surveys in developing countries. Using Bangladesh as a case study, issues like effective sample allocation to ensure the reliability of domain estimates, stratification measures to reduce design effects and introducing household sample size adjustment when to maintain uniform selection probability within domain are discussed.
Keyword Design effects
Master sample design
Sampling frame
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Social Science Publications
 
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Created: Thu, 07 Aug 2014, 17:13:51 EST by Arturo Martinez on behalf of School of Social Science