Jacco Daalmans Estimation of Dutch census tables

History 2

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

Contents –Compilation method –Weighting –Results 4

Compilation 1)Linkage 2) Micro-integration Correction of inconsistencies at unit level 3)Weighting Consistent estimation of tables 5 Population Register Other datasources

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

Repeated weighting: Basics –Developed by Statistics Netherlands –Numerical consistency - Succesfully applied to 2001 Census, but many estimation problems for 2011 census - Therefore repeated weighting was extended 7

Zero cell problem Categories that exist in the population, but that do not appear in a sample survey, e.g. “99 years old people”. 8

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

Solution – implausible results –Step 1: Auxiliary tables One or two-dimensional No epsilon method –Step 2: Demanded tables High-dimensional Consistent with auxiliary tables (step 1). Epsilon method 10

Solution – implausible results –Step 1: Auxiliary tables: (e.g. Sex x Education Age x Education etcetera) –Step 2: Demanded tables (e.g. Sex x Age x Citizenship x Education) 11

Results –All required tables have been estimated succesfully –All tables fully consistent: mutually and with registers –Little deviation from other publications (LFS) – Drawback: No variances 12

Thank you Very much! 13