eusilcA_smp

The data set is a simple random sample of data set <code>eusilcA_pop</code>
which is based on <code>eusilcP</code> from package
simFrame.

datasets

Functions that support estimating, assessing and mapping regional
disaggregated indicators. So far, estimation methods comprise direct estimation,
the model-based unit-level approach Empirical Best Prediction (see "Small area
estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>),
the area-level model (see "Estimates of income for small places: An
application of James-Stein procedures to Census Data" by Fay and Herriot (1979)
<doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance
estimation methods, log and arcsin transformation, spatial, robust and measurement
error models), as well as their precision estimates. The assessment of the used model
is supported by a summary and diagnostic plots. For a suitable presentation of
estimates, map plots can be easily created. Furthermore, results can easily be
exported to excel. For a detailed description of the package and the methods used
see "The R Package emdi for Estimating and Mapping Regionally Disaggregated Indicators"
by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the second package vignette
"A Framework for Producing Small Area Estimates Based on Area-Level Models in R".

Soeren Pannier

emdi

Estimating and Mapping Disaggregated Indicators

Sylvia Harmening

Ann-Kristin Kreutzmann

Felix Skarke

Natalia Rojas-Perilla

Nicola Salvati

Timo Schmid

Matthias Templ

Nikos Tzavidis

Nora Würz

eusilcA_smp function

A data frame with 1000 observations and 18 variables:<dl>
<dt>eqIncome</dt>
<dd>numeric; a simplified version of the equivalized household
income.</dd><dt>eqsize</dt>
<dd>numeric; the equivalized household size according to the
modified OECD scale.</dd><dt>gender</dt>
<dd>factor; the person's gender (levels: male and female).</dd><dt>cash</dt>
<dd>numeric; employee cash or near cash income (net).</dd><dt>self_empl</dt>
<dd>numeric; cash benefits or losses from self-employment
(net).</dd><dt>unempl_ben</dt>
<dd>numeric; unemployment benefits (net).</dd><dt>age_ben</dt>
<dd>numeric; old-age benefits (net).</dd><dt>surv_ben</dt>
<dd>numeric; survivor's benefits (net).</dd><dt>sick_ben</dt>
<dd>numeric; sickness benefits (net).</dd><dt>dis_ben</dt>
<dd>numeric; disability benefits (net).</dd><dt>rent</dt>
<dd>numeric; income from rental of a property or land (net).</dd><dt>fam_allow</dt>
<dd>numeric; family/children related allowances (net).</dd><dt>house_allow</dt>
<dd>numeric; housing allowances (net).</dd><dt>cap_inv</dt>
<dd>numeric; interest, dividends, profit from capital investments
 in unincorporated business (net).</dd><dt>tax_adj</dt>
<dd>numeric; repayments/receipts for tax adjustment (net).</dd><dt>state</dt>
<dd>factor; state (nine levels).</dd><dt>district</dt>
<dd>factor; districts (94 levels).</dd><dt>weight</dt>
<dd>numeric; constant weight.</dd>
</dl>

Format

Simulated eusilc data - sample data — eusilcA_smp

A data frame with 1000 observations and 18 variables:<dl>
<dt>eqIncome</dt>
<dd>numeric; a simplified version of the equivalized household
income.</dd>

<dt>eqsize</dt>
<dd>numeric; the equivalized household size according to the
modified OECD scale.</dd>

<dt>gender</dt>
<dd>factor; the person's gender (levels: male and female).</dd>

<dt>cash</dt>
<dd>numeric; employee cash or near cash income (net).</dd>

<dt>self_empl</dt>
<dd>numeric; cash benefits or losses from self-employment
(net).</dd>

<dt>unempl_ben</dt>
<dd>numeric; unemployment benefits (net).</dd>

<dt>age_ben</dt>
<dd>numeric; old-age benefits (net).</dd>

<dt>surv_ben</dt>
<dd>numeric; survivor's benefits (net).</dd>

<dt>sick_ben</dt>
<dd>numeric; sickness benefits (net).</dd>

<dt>dis_ben</dt>
<dd>numeric; disability benefits (net).</dd>

<dt>rent</dt>
<dd>numeric; income from rental of a property or land (net).</dd>

<dt>fam_allow</dt>
<dd>numeric; family/children related allowances (net).</dd>

<dt>house_allow</dt>
<dd>numeric; housing allowances (net).</dd>

<dt>cap_inv</dt>
<dd>numeric; interest, dividends, profit from capital investments
 in unincorporated business (net).</dd>

<dt>tax_adj</dt>
<dd>numeric; repayments/receipts for tax adjustment (net).</dd>

<dt>state</dt>
<dd>factor; state (nine levels).</dd>

<dt>district</dt>
<dd>factor; districts (94 levels).</dd>

<dt>weight</dt>
<dd>numeric; constant weight.</dd>


</dl>

Simulated eusilc data - sample data

eusilcA_smp: Simulated eusilc data - sample data

Description

Usage

Arguments

Format