The data set includes synthetic EU-SILC data and is taken from the package emdi.
Originally, the data builds on eusilcP from package simFrame
and is reduced to 15 variables including district identifiers as well as aggregated
household level covariates. Therefore, except for the variables ratio_n and
district, the variables are mean values per district.
Format
A data frame with 94 observations and 15 variables:
- eqsize
numeric; the equivalized household size according to the modified OECD scale.
- cash
numeric; employee cash or near cash income (net).
- self_empl
numeric; cash benefits or losses from self-employment (net).
- unempl_ben
numeric; unemployment benefits (net).
- age_ben
numeric; old-age benefits (net).
- surv_ben
numeric; survivor's benefits (net).
- sick_ben
numeric; sickness benefits (net).
- dis_ben
numeric; disability benefits (net).
- rent
numeric; income from rental of a property or land (net).
- fam_allow
numeric; family/children related allowances (net).
- house_allow
numeric; housing allowances (net).
- cap_inv
numeric; interest, dividends, profit from capital investments in unincorporated business (net).
- tax_adj
numeric; repayments/receipts for tax adjustment (net).
- ratio_n
numeric; ratios of the population size per area and the total population size.
- district
factor; Austrian districts (94 levels).