lfs_samp_ind

A (simulated) dataset containing information about 157 individuals
sampled for the Labour force survey (all members of the 80 dwellings
described in <code>lfs_samp_dwel</code>). It also contains the 
unemployment status extracted from the survey file (no non-response).

datasets

Provides a toolkit for analytical variance estimation in survey sampling. Apart from the implementation of standard variance estimators, its main feature is to help the sampling expert produce easy-to-use variance estimation "wrappers", where systematic operations (linearization, domain estimation) are handled in a consistent and transparent way.

Khaled Larbi

gustave

A User-Oriented Statistical Toolkit for Analytical Variance
Estimation

Martin Chevalier

Institut national de la statistique et des études économiques 

lfs_samp_ind function

A data frame with 157 observations and 5 variables:<dl>
 <dt>id_ind</dt>
<dd>identifier of the individual</dd> <dt>id_dwel</dt>
<dd>identifier of the dwelling</dd> <dt>income</dt>
<dd>total annual income of the individual in thousand euros (from income registry)</dd> <dt>unemp</dt>
<dd>unemployment status</dd> <dt>sampling_weight</dt>
<dd>sampling weight of the individual (inverse of the first-order inclusion probability of the dwelling)</dd>
</dl>

Format

Sample of individuals in the Labour force survey — lfs_samp_ind

A data frame with 157 observations and 5 variables:<dl>
 <dt>id_ind</dt>
<dd>identifier of the individual</dd>

 <dt>id_dwel</dt>
<dd>identifier of the dwelling</dd>

 <dt>income</dt>
<dd>total annual income of the individual in thousand euros (from income registry)</dd>

 <dt>unemp</dt>
<dd>unemployment status</dd>

 <dt>sampling_weight</dt>
<dd>sampling weight of the individual (inverse of the first-order inclusion probability of the dwelling)</dd>


</dl>

lfs_samp_ind: Sample of individuals in the Labour force survey

Description

Usage

Arguments

Format

See Also