eusilc {simFrame}R Documentation

Artificial EU-SILC data

Description

This data set is synthetically generated from real Austrian EU-SILC (European Union Statistics on Income and Living Conditions) data.

Usage

data(eusilc)

Format

A data.frame with 58 191 observations on the following 19 variables:

hid
the household ID.
region
the federal state in which the household is located.
hsize
the number of persons in the household.
eqsize
the equivalized household size according to the modified OECD scale.
eqIncome
a simplified version of the equivalized household income.
pid
the personal ID.
id
the household ID combined with the personal ID. The first five digits represent the household ID, the last two digits the personal ID (both with leading zeros).
age
the person's age.
gender
the person's gender.
ecoStat
the person's economic status.
citizenship
the person's citizenship (AT, EU or Other).
persNetIncome
the personal net income.
py010n
employee cash or near cash income (net).
py050n
cash benefits or losses from self-employment (net).
py090n
unemployment benefits (net).
py100n
old-age benefits (net).
py110n
survivor's benefits (net).
py120n
sickness benefits (net).
py130n
disability benefits (net).
py140n
education-related allowances (net).

Details

The data set is used as population data in some of the examples in package simFrame. Note that it is included for illustrative purposes only. It consists of 25 000 households, hence it does not represent the true population sizes of Austria and its regions.

Some variable names are different from the standardized names used by the statistical agencies, as the latter are rather cryptic codes. Moreover, as household income components are not yet available in the synthetic data set, the equivalized household income is computed only from the personal net income of the household members.

Source

This is a synthetic data set based on Austrian EU-SILC data from 2006. The original sample was provided by Statistics Austria.

References

Kraft, S. (2009) Simulation of a Population for the European Income and Living Conditions Survey. Master's thesis, Department of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria.

Examples

data(eusilc)
stratify(eusilc, design = "region")

[Package simFrame version 0.1.1 Index]