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Authors : Mohammed Al Rifai (Ph.D.) Mariam Al Qemzi PowerPoint Presentation
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Authors : Mohammed Al Rifai (Ph.D.) Mariam Al Qemzi

Authors : Mohammed Al Rifai (Ph.D.) Mariam Al Qemzi

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Authors : Mohammed Al Rifai (Ph.D.) Mariam Al Qemzi

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  1. Optimum sampling strategy forNational Households In Abu Dhabi(The Household Master Sample 2012) • Authors : • Mohammed Al Rifai (Ph.D.) • Mariam Al Qemzi 10/ October/2014

  2. Contents • Introduction • Problem Identification • The Structure of Abu Dhabi Sampling Frame • Master Sampling Frame and Stratification • Stratification by Ratios of National Households • Master Sample Size and Allocation • ModifiedAllocation Criteria By Nationality Strata • Conclusion

  3. Introduction The Emirate of Abu Dhabi • Almost 43 years since the formation of the UAE. • UAE comprises Abu Dhabi plus six other Emirates. • Abu Dhabi accounts for over 80 per cent of UAE land mass. • Abu Dhabi contains around one third of UAE population. • Emirati citizens make up around 20 per cent of Abu Dhabi population. • Abu Dhabi oil represents around 10 per cent of global reserves.

  4. Introduction Statistics Centre – Abu Dhabi • • SCAD is the official source of statistical data for Abu Dhabi. • • Our Mission: • 1. Develop and organize a statistical system in the Emirate. • 2. Provide relevant and reliable official statistics serving policy makers, the • business community and the public. • Celebrated five years of operation in April 2014. • Operates in accordance with international best practice to provide range of statistics.

  5. Problem Identification How to improve the sample strategy for national households, to ensure precise and highly accurate estimates.

  6. The Structure Of Abu Dhabi Sampling Frame Abu Dhabi three regions:

  7. The Structure Of Abu Dhabi Sampling Frame

  8. The Structure Of Abu Dhabi Sampling Frame

  9. Master Sample Frame and Stratification In 2012 Master sample: • Key Domains of Analysis: • Region • Citizenship • Levels of stratification of EAs:

  10. Stratification by Ratios of National Households The nationality strata are as follows:

  11. Master Sample Size and Allocation Master Sample size: Number of PSUs in the master sample should be sufficiently large to provide sample households for: • Household surveys that are currently planned. • Future Surveys – may require larger samples • 4 Replicates. Result- A sample of 560 EAs. This represents nearly 30% of all EAs used in Census 2011.

  12. Master Sample Size and Allocation Master sample allocation: Allocation by region based on: • previous sampling errors for key estimates of households surveys . • 4 Replicates EA allocation:

  13. Modified Allocation Criteria By Nationality Strata Proportional allocation adjusted by as an adjustment factor ; • The modified allocation criteria can be expressed as follows: Where: nh = number of sample EAs allocated to stratum h. n = total number of sample EAs • Wh = weight assigned to nationality stratum h ; Nh = total number of households in nationality stratum h N = total number of households in frame

  14. Modified Allocation Criteria By Nationality Strata The expected ratio of the national household in the sample Percentage of national households in the stratum (h) Wh: weight assigned to nationality stratum h ; : Adjustment factor,

  15. Conclusion • % National Households using proportional Allocation: 21.5% • % National Households using Modified Allocation: 35.6% • Implementation: high level of precision in LFS2012

  16. Contact • For more information please read the paper. • Website: www.scad.ae • Authors: