Clustering and Design Effects: Moldova Example
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This study explores the impact of cluster design effects in Moldova's Household Budget Survey (HBS) and Labor Force Survey (LFS). It analyzes the current sampling frameworks, which include a total of 1,620 households quarterly for HBS and 8,208 for LFS, noting issues of precision due to limited Primary Sampling Units (PSUs). The proposal suggests integrating both surveys using a common sample of 160 PSUs to improve data precision and analysis. The anticipated outcomes include more reliable estimates and enhanced value from linking labor force data with household consumption information.
Clustering and Design Effects: Moldova Example
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Presentation Transcript
Clustering and Design Effects: Moldova Example Kathleen Beegle DECRG January 2008 Module 2: Sampling for Surveys
Moldova Household Budget Survey • 1,620 households in each quarter (6,480 households per year) • 45 PSUs (cluster/EA) • 36 households in each PSU in each quarter • Issue: is the design sufficient to ensure precision due to the cluster effect? • In other words, does the relatively large number of households offer much benefit with so few PSUs?
Moldova Labor Force Survey • 8,208 households in each quarter • 114 PSUs (not same PSUs as HBS) • 72 households in each PSU in each quarter • Issue: is the design insufficient to ensure precision due to the cluster effect?
LFS 2002 quarter 2Rate of unemployment • Design effect is 6.92.
Proposal: Integration for Improved Data • Conduct the two surveys over a common sample of 160 PSUs • In each PSU in each quarter: • 12 HHs do both HBS and LFS • 36 HHs do only LFS
Proposal: Integration for Improved Data • Costs: • Approximately same manpower • Approximately same number of questionnaires • Benefits: • Precision of estimates • Value of data for analysis: analysts can link detailed labor force data to HBS information
Expected SE • HBS with 12 households in 160 PSUs: • SE: 9.33 Lei (compared 15.52) [for HBS 2002 quarter 2] • CI: 315 - 351 (compared to 302 - 364) • LFS with 28 households in 160 PSUs: • SE: 0.58 percent points (compared to 0.68) • CI: 5.2 – 7.5 (compared to 5.0 - 7.7)