samp.C: Artificial data set resembling EU-SILC survey
In StatMatch: Statistical Matching or Data Fusion

samp.C

R Documentation

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.C)

Format

A data frame with 980 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)
labour5: the person's self–defined economic status, factor with 5 levels: ‘1’=employee working full–time or part–time, ‘2’=self–employed working full–time or part–time, ‘3’=unemployed, ‘4’=In retirement or in early retirement or has given up business, ‘5’=other status (student, permanent disabled, in compulsory military service, fulfilling domestic tasks, etc.)
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.