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-integrationCorrection of inconsistencies at unit level

3) WeightingConsistent estimation of tables

5

Population

Register

Othe

r dat

asou

rces

Weighting

6

Registers

Units

Variables

Sample Surveys

EducationOccupation

Demographic + Socio economic variablesExcept: education and occupation

16,500,000 300,000

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 variances12

Thank you

Very much!

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