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
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.