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Discover the methodology and results of the Integrated Census in Israel, including data sources, evaluation methods, parameters, and implications for 2008. Explore the evaluation procedures, weights, and pilot census findings to understand the comprehensive process.
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Evaluating the Integrated Census -2008 Israel Pnina ZADKA Central Bureau of Statistics Israel
Content ofPresentation • Integrated census – integrated evaluation • Data sources • Methodology in brief • Evaluation methods • Evaluation parameters • 2006 evaluation results • 2008 Evaluation procedures UNECE Geneva 2008 Evaluating Integrated Census Israel
Integrated Census Data SourcesAdministrative sources (IAF) • Population Register • Electricity Meters register • Students’ register (Elementary schools, Secondary school and high school) • Vehicles’ register • Geo-coded addresses + UNECE Geneva 2008 Evaluating Integrated Census Israel
Integrated Census Data SourcesDirect Data Collection • Area based sample – Estimating under-coverage within Statistical Area, and collecting socioeconomic information not available in administrative sources. • Population Register Sample – Estimating over-overage within Statistical Area UNECE Geneva 2008 Evaluating Integrated Census Israel
Integrated Census Methodology Area sample “U” CAPI survey IAF sample “O” CATI survey 1 1 1 1 3 2 2 3 4 6 5 5 6 7 Sampled enumeration cells UNECE Geneva 2008 Evaluating Integrated Census Israel
Integrated Evaluation Methodology • Evaluation of the IAF • Evaluation of “U” enumeration procedure • Evaluation of “O” enumeration Procedure • Census weights – reflecting coverage rates Weight =1-reflecting complete balance between over and under coverage Weight >1 – reflecting more under coverage Weight<1 – reflecting more over coverage UNECE Geneva 2008 Evaluating Integrated Census Israel
Evaluation Parameters • “Improvement” of residential status • “Improvement” of addresses • “Administrative Family” construction • omitted in the “U” survey & non-response rates • Availability of telephone numbers for the “O” sample & non-response rates • Dual model – CV of the final estimates UNECE Geneva 2008 Evaluating Integrated Census Israel
2006 Pilot Census • ≈ 50 thousand persons in the IAF sample • ≈ 14 thousand “administrative families” • 25 Localities • 16 residential institutes (including one prison) UNECE Geneva 2008 Evaluating Integrated Census Israel
2006 Pilot Census Evaluation Results • Administrative families • ≈90% correct construction • 0.5% improper split of family • 1.4% individuals not unified with their actual family even though living at the same address • 3% improper merge of families • 4.5% incorrect addresses in the IAF • “Emigrants” • 19 persons not flagged as emigrants (0.04%) • 9 persons flagged as emigrants improperly (0.02%) UNECE Geneva 2008 Evaluating Integrated Census Israel
2006 Pilot Census Evaluation Results (cont.) • “U” sample evaluation(“O” as pseudo PES) • ≈ 40 thousand persons were registered in sampled cells addresses • 27.2 thousand were interviewed in “U” (68%) • 4.3 thousand living in their registered address(11%)- omitted in the “U” enumeration • 5.7 thousand living at a different address (14%) • 7% not contacted 89% - upper limit of coverage rate for the field enumeration procedure UNECE Geneva 2008 Evaluating Integrated Census Israel
2006 Pilot Census Evaluation Results (cont.) • “O” sample evaluation • 11, 360 families • 1,413 unknown telephone number • 22,809 individuals • 2,032 unknown telephone numbers • 14, 754 full interview (72%) • 1,524 partial interview or mismatched (7%) • 4,326 not interviewed (21%) UNECE Geneva 2008 Evaluating Integrated Census Israel
2006 Pilot Census Evaluation Results (cont.) Statistical estimates evaluation • CV calculated by both methods yielded similar results within expected limits. • If combined response rates (“U” + “O”) are less than 50% for a SA the model does not yield valid estimates. UNECE Geneva 2008 Evaluating Integrated Census Israel
Implications applied for 2008 • No modification in the Emigrant flagging algorithm • Improve algorithm for “administrative families” • Improve field enumeration results • Improve geo-coding in all sub-files UNECE Geneva 2008 Evaluating Integrated Census Israel
2008 Census Evaluation • All examined evaluation procedures will be repeated • Evaluation of Socio-Economic data with auxiliary sources (National Insurance Institute, LFS, Household Expenditure Survey, Social Survey) UNECE Geneva 2008 Evaluating Integrated Census Israel
Thank You UNECE Geneva 2008 Evaluating Integrated Census Israel
“Improvement” of residential status The PR consists of all residents with a long term visa who received an ID card (number). Registered residents who live permanently abroad are not deleted from the register. A special algorithm based on border control registrations, updates from the NII, extreme age and 1995 census files, was used to identify “non-residents” in the PR and flag them in the IAF ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel
“Improvement” of addresses • PR addresses were added from the the other administrative files, primary address was selected by an algorithm for the all records IAF. ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel
“Administrative Family” construction “Administrative families” were constructed based on kinship relations registered in the PR. Families living in different “improved addresses” were unified using a set of rules and a preference algorithm. ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel
Omitted in the enumeration of “U” survey • People registered properly in the IAF who were missed in the “U” survey enumeration and were found in the “O” survey enumeration. ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel
“O” Sample Survey • Administrative families with no telephone number • Wrong number or no response after 15 calls • No response to mail questionnaire ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel
Dual model – CV of the final estimates • Impute probabilities for each person in estimation group to reside at their registered address. • Compatibility with current population estimates • Convergence of proportional CV of the estimates calculated using “Taylor expansion” and “Jackknife” methods. ☜ UNECE Geneva 2008 Evaluating Integrated Census Israel