Research Article
Human Development Index Modelling In Indonesia Using Spatial Error Model Approach
@INPROCEEDINGS{10.4108/eai.5-8-2020.2301175, author={Asmadhini Rahma}, title={Human Development Index Modelling In Indonesia Using Spatial Error Model Approach}, proceedings={Proceedings of the 2nd International Conference of Business, Accounting and Economics, ICBAE 2020, 5 - 6 August 2020, Purwokerto, Indonesia}, publisher={EAI}, proceedings_a={ICBAE}, year={2020}, month={10}, keywords={human development index life expectancy expected years of schooling number of poor people per capita expenditure open unemployment rate spatial error model}, doi={10.4108/eai.5-8-2020.2301175} }- Asmadhini Rahma
Year: 2020
Human Development Index Modelling In Indonesia Using Spatial Error Model Approach
ICBAE
EAI
DOI: 10.4108/eai.5-8-2020.2301175
Abstract
Human Development Index (HDI) is the benchmark of the success of a country in establishing the quality of human life. One way to strengthen the HDI is to create a model based on several things that are expected to influence the increase in each province in Indonesia based on the three dimensions that make HDI, i.e Life Expectancy, Expected Years of Schooling, Number of Poor People, per Capita Expenditure, and Open Unemployment Rate. To determine the best model by weighing that a region can affect its neighboring regions, so that the spatial model is selected. After implementing data analysis, through the Lagrange Multiplier test it was obtained that the best model needed to determine what strategy to do to strengthen HDI per province in Indonesia is a spatial error model.
