documentation variables definition l is

7/28/2019 Documentation Variables Definition l Is

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File Name Label Codes

IdentifiersH & P HID unique unit identifier

P PID person identifier

H & P DID unique country/year numberH & P DNAME country/year identifier

H & P CNAME country nameH & P ISO2 2-letter country abbreviation

H & P YEAR reference yearH & P WAVE data wave 0 Historical Wave

1 Wave I2 Wave II3 Wave III4 Wave IV5 Wave V

6 Wave VI7 Wave VII

File informationH HWGT normalised household weight

H HPOPWGT population household weight


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Definition

Unique (within dataset) household number.

Unique (within household) person number.

Unique (within LIS database) dataset number.Unique (within LIS database) dataset identifier, composed of a 2-letter country abbreviation (coded according to the ISO-3166) and a 2-digit income reference year.

Full name of country.Unique (within LIS database) country identifier, composed of a 2-letter country abbreviation (coded according to the ISO-3166).2-digit income reference year of the data.Indicator of the LIS wave to which the dataset belongs.The LIS waves include datasets with the following incomereference years:Historical Wave: before 1979Wave I : 1979-1982Wave II: 1983-1987

Wave III: 1988-1992Wave IV: 1993-1997Wave V: 1998-2002Wave VI: 2003-2005Wave VII: 2006-2008

Household-level cross-sectional weight, normalised to 10,000by country.

Population household cross-sectional weight: this weightinflates the result to reflect the total household populationcovered by the dataset.


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Additional household level weight calculated for a selectedsub-sample of households.

Individual-level cross-sectional weight, normalised to 10,000by country.

Population individual cross-sectional weight: this weightinflates the result to reflect the total individual populationcovered by the dataset.

Additional individual level weight calculated ofor a selectedsub-sample of individuals.

Unit of analysis of the file.

Number of persons in the survey unit, which corresponds bydefault to the number of observations in the P-level file.

Indicator as to whether the individual is considered ahousehold member (i.e. individual sharing the budget in the

household). Non-household members are all persons forwhom the relationship to the head is domestic servants (andfamily) or guests/boarders/lodgers (i.e. RELATION=4220 and4330).


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This variable contains an additional household level weight in case only part of the household sample has been selected for some variables. This weight shouldbe used only in connection with the sub-sample for which it was created.

This variable is always filled for all observations. In many datasets the individualand the household-level weight are the same.Always use the individual weight in your individual level analysis in order to get

results representative of the total individual population.In case of multi-country analysis, the normalized weight should be chosen if eachcountry is intended to have the same weight.

This variable is always filled for all observations. In many datasets the individualand the household-level weight are the same.Always use the individual weight in your individual level analysis in order to getresults representative of the total individual population.In case of multi-country analysis, the inflated weight should be chosen if eachcountry is intended to count in the final results proportionately to its populationsize.This variable contains an additional individual level weight in case only part of theindividual sample has been selected for some variables.

This is almost always the household, but can differ in a few instances.

Please note that in most datasets this also corresponds to the number of household members.

Incomes of non-household members if available - are not aggregated into thetotal household income, and similarly, non-household members are not included

in the count of the equivalence scale in the LIS Key Figures. Please note that inmost datasets there are no non-household members.Non-household members are also not considered for the construction of allhousehold level household composition variables as well as the individual levelliving arrangements variables (more precisely PARTNER, PARENTS, CHILDREN,NCHILDREN and AGEYOCH).

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