Daalmans Estimation of Dutch census tables History 2 Background Virtual Census Some Sources Population Register PR Social security registers Labour force Surveys 3 Contents ID: 313466
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Slide1
Jacco Daalmans
Estimation of
Dutch census tablesSlide2
History2Slide3
Background
Virtual Census
Some Sources:
Population Register (PR)
- Social security registers
Labour
force Surveys
3Slide4
Contents
Compilation method
Weighting
Results
4Slide5
Compilation
Linkage
2) Micro-
integration
Correction of inconsistencies
at unit level
Weighting
Consistent
estimation
of
tables
5
Population
Register
Other datasourcesSlide6
Weighting
6
Registers
Units
Variables
Sample
Surveys
Education
Occupation
Demographic + Socio economic variables
Except: education and occupation
16,500,000
300,000Slide7
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
7Slide8
Zero cell problem
Categories
that
exist
in the population, but that do not appear
in a sample survey, e.g.
“99
years
old
people”.
8Slide9
Solution – zero cell problem
Epsilon
method
:
Filling
in
artificial ‘ghost values’
Prevents estimation problems
But
creates
new
problem
: Implausible estimates.
9Slide10
Solution – implausible results
Step 1:
Auxiliary
tables
One
or two-dimensional No epsilon methodStep 2: Demanded tables
High-
dimensional
Consistent
with auxiliary tables (step 1).Epsilon
method
10Slide11
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)
11Slide12
ResultsAll
required
tables
have been
estimated succesfullyAll tables fully consistent: mutually and
with
registers
Little
deviation
from other publications (LFS) Drawback: No
variances
12Slide13
Thank you
Very much!
13