samp.A {StatMatch}

Artificial data set resembling EU–SILC survey

Description

This data set provides a limited number of variables observed at persons levels among those usually collected in the European Union Statistics on Income and Living Conditions Survey (EU–SILC). The data are artificially generated, just to show the application of the statistical matching techniques implemented in StatMatch.

Usage

data(samp.A)

Format

A data frame with 3009 observations and the following variables:

HH.P.id

unique unit identifier of the type aa.bb where aa identifies the Household while bb identifies the household member

area5

large geographic area, factor with 5 levels: ‘NE’=North–East, ‘NO’=North–West, ‘C’=center, ‘S’=South, ‘I’=islands

urb

Degree of urbanization, factor with 3 levels: ‘1’=densely populated area, ‘2’=intermediate area, ‘3’=thinly populated area

hsize

integer, size of the household in which the person lives

hsize5

factor with 5 levels derived from hsize, where the 5th level ‘>=5’ denotes 5 and more people in the household

age

integer, the person's age

c.age

factor, age categorized in 5 classes

sex

factor, the person's gender: ‘1’=male, ‘2’=female

marital

factor, the person's marital status: ‘1’=never married, ‘2’=married, ‘3’=other (separated, widowed, divorced)

edu7

factor, the person's highest education level attained, follows the ISCED-97 categories: ‘0’=pre–primary education, ‘1’=primary education, ‘2’=lower secondary education, ‘3’= (upper) secondary education, ‘4’= post–secondary non tertiary education, ‘5’=first stage of tertiary education (not leading directly to an advanced research qualification), ‘6’=second stage of tertiary education (leading to an advanced research qualification)

n.income

numeric, the person's net income in Euros

c.neti

factor, the person's net income categorized in 7 classes of thousand of Euros

ww

numeric, the unit's weight

Details

Please note that this data set is just for illustrative purposes. The unit's weight do not reflect the Italian population size. The variables included are derived starting from the those usually observed in the EU–SILC survey.

Source

This data set is artificially created starting from the EU–SILC survey structure.

References

https://ec.europa.eu/eurostat/web/income-and-living-conditions/overview