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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching Pres. 7
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching Purpose of matching Determine enumeration status Correct enumeration Erroneous enumeration Missed in census
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Objectives of matching Matching aims at identifying: For persons from the P-sample: Matched non-mover Matched out-mover Non-matched non-mover Non-matched out-mover In-mover Born after Died after
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Objectives of matching For persons enumerated in the census (E-sample): Matched non-mover Matched out-mover => correctly enumerated Erroneously enumerated
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching (contd.) Basic process of matching Matching carried out in two phases Phase 1 – strict rules to result in Obvious matches Possible matches Phase 2 – possible matches are re-examined using relaxed rules to determine Matches Field follow-up to obtain more information to resolve match status
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching Operations Matching can be done by computer, manually or both Basic process involves comparison of addresses, names & demographic characteristics Housing units & persons enumerated in a census are compared with those enumerated in the PES Computer matching can first involve scanning of questionnaire & installation of a matching software Computer matching ensures speed and objectivity using matching algorithms
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Steps Followed in Matching Housing Unit Match Identify Search areas – good knowledge of geography of the country and having good maps to work with Phase 1 matching to determine Obvious matches Possible matches Phase 2 matching to determine Matches with relaxed rule Field follow-up to obtain more information to resolve match status
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Steps Followed in Matching (contd.) Person matching Identify E-sample persons with sufficient information eligible for matching Identify Search areas – good knowledge of geography of the country and having good maps to work with Phase 1 matching to determine Obvious matches Possible matches Phase 2 matching to determine Matches with relaxed rule Field follow-up to obtain more information to resolve match status
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching Rules Need for documentation of detailed matching rules In developing the rules consideration must be given to the possibility of making erroneous matches and erroneous non-matches If rules are relaxed and made flexible more matches and fewer non-matches may be possible-possibility of increasing erroneous matches Put in place a system that minimizes net error
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Matching Rules (contd.) Matching rules specify characteristics, e.g. age, sex, name etc. Specifying some tolerance ranges, e.g. for age - this allows for limited misreporting Ranges can vary according to characteristics Care not to increase gross matching error (erroneous matches + erroneous non-matches) while minimizing net matching error
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Reconciliation Visits Helps to identify erroneous census enumeration Good training of field staff essential Follow-up directed to no-matched persons and households Resolution of doubtful cases and definitive match status for every P and E sample element For persons in census records and not in the PES reconciliation helps to: Determine whether such persons were usual residents as of census date or whether they were erroneously enumerated
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Reconciliation Visits (contd.) For persons appearing on PES list but not on census records, reconciliation helps to: Confirm whether such persons were usual residents as of census date (non-movers or out-movers) or Whether they arrived or were born after census (in- movers) Collect additional information to determine the final match-to confirm whether such persons were residents of particular households as of census date
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United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok, Thailand, 10-14 May, 2010 Thank You!
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