About Weighting
Name
of the Crosssectional Weighting Variables


1992 
1993 
1994 
1995 
1996 
1997 
Individual 
Children 
SULY92 
GYEKE93S 
GYEKE94S 
GYEKE95S 
GYEKE96S 
GYEKE97S 

Adult 
SULY92 
EGYKE93S 
EGYKE94S 
EGYKE95S 
EGYKE96S 
EGYKE97S 

Combined 
SULY92 
KKSULY93 
KKSULY94 
KKSULY95 
KKSULY96 
KKSULY97 
Household 

SULY92 
HAZKE93S 
HAZKE94S 
HAZKE95S 
HAZKE96S 
HAZKE97S 
Name
of the LongitudinalPanel Weighting Variables


1992 
199293 
199294 
199295 
199296 
199297 
Individual 
Children 
SULY92 
GYELO93S 
GYELO94S 
GYELO95S 
GYELO96S 
GYELO97S 

Adult 
SULY92 
EGYLO93S 
EGYLO94S 
EGYLO95S 
EGYLO96S 
EGYLO97S 

Combined 
SULY92 
KLSULY93 
KLSULY94 
KLSULY95 
KLSULY96 
KLSULY97 
Household 

SULY92 
HAZLO93S 
HAZLO94S 
HAZLO95S 
HAZLO96S 
HAZLO97S 
About weighting
Originally HHP consisted
of two samples: a Budapest subsample and a national sample. The national
sample consisted of approximately 2000 hhs and the capital subsample about
600. This two subsamples were treated separately till the 4^{th}
wave. Because of the lowered sample size, it was necessary to unify the
subsamples.
After finishing the
HHP study a new version of database was created and the two subsamples
were merged from the first wave.
1^{st}
wave, 1992 (Individual and household weight)

The fact that the Hungarian
capital was oversampled in the new, unified sample made necessary a correctional
weight for the first wave (SULY92). The original 2050 hhs national sample
for the first wave was supposed to be a representative sample of noninstitutional
Hungarian households and individuals living in these households.

Households living in Budapest
and their member have a weighting value of 0,4. Other (nonBudapest) households
got a value of 1. This value is universal in terms that each household
member got the same value as his or her household. Since there is no difference
between individual and household weights, only one variable was created.
This weight is called as SULY92. Every each individual and household participated
in the first wave has a weight value of 1 or .40 on this variable.

Note this results a lower
weighted sample size (N=2050), than the unweighted sample size (N=2668).
The weighted sample size is equal to the original national sample size.
Unweighted and
weighted distribution of households by settlement type, HHP 1^{st}
wave – 1992
Crosssectional
weights for adults (EGYKEnnS), for children (GYEKEnnS) and the combined
individual weight (KKSULYnn), 2nd6th wave

Working out the principle
of weights, it was supposed that there are a "natural" panel aging:
i.e. individuals die, and born, etc. Beside natural aging there is sample
attrition which should be corrected by introducing weights, for certain
group of people. By attrition we mean that some household dropped out from
the sample, because they refuse to cooperate or move to unknown places,
and can not be followed.

Attrition than was corrected
according to the main sociodemographic characteristics of sample dropouts.
These characteristics are gender, age, education and settlement type.
Correction hereby mean an adjustment to the sample composition of previous
wave, rather than a correction to an external source like census or microcensus.
Consequently, second wave was adjusted to 1^{st} wave, 3^{rd}
wave to 2^{nd} wave, etc.

However, this solution
has some shortcomings. Weights were computed only for those who were aged
16 or more AND completed individual or substitution questionnaire. There
are no adult individual weights for children aged under 16,
and for those who did not complete individual questionnaire and no substitution
questionnaire was administered. It is because educational information
are available only from that sources, and because young children simply
do not have any educational credential.

To smooth out that problem
a
separate weight variable was introduced for children. (GYEKEnnS)
It is simply their household weight. The computation of household weights
will be discussed below.

However there are still
some individual who has no individual crosssectional weights. Their number
is ranged between 13 and 50 during the panel period. These persons are
invisible for statistical procedures, when the data set is weighted.

The following variables
were used during the definition of weights:
Variable

Categories

Gender 
1 – male
2 – female 
Age 
1 – under
16 years old
2 – 1629 years
3 – 3039 years
4 – 4049 years
5 – 5059 years
6 – aged 60 and over 
Education 
1 – maximum
primary
2 – vocational
3 – high school (secondary level)
4 – college & university (tertiary
level) 
Residence
/ settlement type 
1 – village
(including homesteads)
2 – towns
3 – capital (Budapest) 

The weights are supposed
to correct sampling attrition for the above specified (and broader) categories.
If you perform analyses employing variables with narrower categories (like
treating separately college degree from university level education), the
results might be affected by sampling attrition.

Based on adults' and children
weights a combined (crosssectional) individual weight (KKSULYnn)
was created, so one can weight the total individual sample of HHP. This
variable is simply the combination of the two weighting variables i.e.,
the value EGYKEnnS for adults and GYEKEnnS
for children.
Crosssectional
household weights, 2^{nd}6^{th} wave (HAZKEnnS)

Household weights were
computed as the mean individual adult weights. By this we suppose that
socioeconomic position of households are dependent on their adult members’
resources. This solution is only one of the possible solutions, and it
does not necessarily follows that this is the best one. Other option can
be to use the individual weight of household head, as was the former praxis
in TARKI before the introduction of this new weighting system.

Again, it may cause some
problem that some households do not have weight. It is because of missing
individual weights. Specifically it means that in wave 3 and wave 5 two
households have no weights.
Longitudinal
weights

Household and individual
level longitudinal weights were constructed for those, who participated
in more than one waves, and were already member in the starting panel (1^{st}
wave) sample. For example longitudinal weight for the 3^{rd} wave
is available for those who participated in 1^{st}, 2^{nd}
and 3^{rd} wave. Similarly, longitudinal weight for the last (6^{th})
wave refers to that subsample of individuals who were participants in the
whole panel period (from the 1^{st} to the 6^{th} wave).

Individual longitudinal
weights (EGYLOnnS) for persons aged 16 and older were computed as the product
of crosssectional individual weights.

Longitudinal household
weights
(HAZLOnnS) were computed as the mean of longitudinal individual
weights of persons living in the same household.

Longitudinal weights for
children (GYELOnnS) were created in the same way as their crosssectional
weights were defined. Children simply got their household longitudinal
weight.

Similar to combined individual
crosssectional weights a combined individual longitudinal weight variable
(KLSULYnn) was defined as the combination of EGYLOnnS and GYELOnnS.