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Jacco Daalmans

Estimation of Dutch census tables. Jacco Daalmans. History. Background. Virtual Census Some Sources: Population Register (PR) - Social security registers Labour force Surveys. Contents. Compilation method Weighting Results. Compilation. Linkage 2) Micro- integration

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Jacco Daalmans

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  1. Estimation of Dutch census tables Jacco Daalmans

  2. History

  3. Background • Virtual Census • Some Sources: • Population Register (PR) - Social security registers • Labour force Surveys

  4. Contents • Compilation method • Weighting • Results

  5. Compilation • Linkage 2) Micro-integration Correction of inconsistencies at unit level • Weighting Consistent estimation of tables Population Register Other datasources

  6. Weighting Variables Registers Units 16,500,000 Sample Surveys 300,000 Education Occupation Demographic + Socio economic variables Except: education and occupation

  7. Repeated weighting: Basics • DevelopedbyStatisticsNetherlands • Numericalconsistency - Succesfullyappliedto 2001 Census, but manyestimationproblemsfor 2011 census - Thereforerepeatedweighting was extended

  8. Zero cell problem Categoriesthatexist in the population, but that do notappear in a sample survey, e.g. “99 yearsoldpeople”.

  9. Solution – zero cell problem Epsilon method: • Filling in artificial ‘ghostvalues’ • Prevents estimation problems • But creates new problem: Implausible estimates.

  10. Solution – implausible results • Step 1: Auxiliarytables • One or two-dimensional • No epsilon method • Step 2: Demandedtables • High-dimensional • Consistent withauxiliarytables (step 1). • Epsilon method

  11. Solution – implausible results • Step 1: Auxiliarytables: (e.g. Sex x Education Age x Education etcetera) • Step 2: Demandedtables (e.g. Sex x Age x Citizenship x Education)

  12. Results • Allrequiredtables have been estimatedsuccesfully • Alltablesfully consistent: mutuallyandwith registers • Little deviationfromotherpublications (LFS) • Drawback: No variances

  13. Thank you Very much!

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