IPS_data

This is individual pension system data of Turkey for analysing spatial error model.

datasets

Provides robust estimation for spatial error model to presence of outliers in the residuals. The classical estimation methods can be influenced by the presence of outliers in the data. We proposed a robust estimation approach based on the robustified likelihood equations for spatial error model (Vural Yildirim & Yeliz Mert Kantar (2020): Robust estimation approach for spatial error model, Journal of Statistical Computation and Simulation, <doi:10.1080/00949655.2020.1740223>).

Vural Yildirim

SpatialRoMLE

Robust Maximum Likelihood Estimation for Spatial Error Model

Yeliz Mert Kantar

IPS_data function

A list with 10 variables, which are:<dl>
<dt>ID</dt>
<dd>provinces ID</dd><dt>Province</dt>
<dd>provinces names</dd><dt>RPIPS</dt>
<dd>participant rate of individual pension system</dd><dt>Labor_Rate</dt>
<dd>labor rate</dd><dt>Unemployment_Rate</dt>
<dd>unemployment rate</dd><dt>Sex_Ratio</dt>
<dd>sex ratio</dd><dt>Urbanization_Rate</dt>
<dd>urbanization rate</dd><dt>Deposit_Rate</dt>
<dd>deposit rate</dd><dt>Illiteracy_Rate</dt>
<dd>illiteracy rate</dd><dt>HDI</dt>
<dd>human development index</dd>
</dl>

Format

The individual pension system data of Turkey — IPS_data

A list with 10 variables, which are:<dl>
<dt>ID</dt>
<dd>provinces ID</dd>

<dt>Province</dt>
<dd>provinces names</dd>

<dt>RPIPS</dt>
<dd>participant rate of individual pension system</dd>

<dt>Labor_Rate</dt>
<dd>labor rate</dd>

<dt>Unemployment_Rate</dt>
<dd>unemployment rate</dd>

<dt>Sex_Ratio</dt>
<dd>sex ratio</dd>

<dt>Urbanization_Rate</dt>
<dd>urbanization rate</dd>

<dt>Deposit_Rate</dt>
<dd>deposit rate</dd>

<dt>Illiteracy_Rate</dt>
<dd>illiteracy rate</dd>

<dt>HDI</dt>
<dd>human development index</dd>


</dl>

IPS_data: The individual pension system data of Turkey

Description

Usage

Arguments

Format