IPS_coefs

Initial coefficients of individual pension system data were obtained by MLE.

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_coefs function

A list with 10 values, which are:<dl class="dl-horizontal">
<dt>(Intercept)</dt><dd>intercept</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>
<dt>lambda</dt><dd>spatial autocorrelation parameter</dd>
<dt>s2</dt><dd>variance</dd>
</dl>

Format

Initial coefficients of individual pension system data — IPS_coefs

A list with 10 values, which are:<dl class='dl-horizontal'>
<dt>(Intercept)</dt><dd>intercept</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>
<dt>lambda</dt><dd>spatial autocorrelation parameter</dd>
<dt>s2</dt><dd>variance</dd>
</dl>

IPS_coefs: Initial coefficients of individual pension system data

Description

Usage

Arguments

Format