APPLICATION OF SPATIAL REGRESSION ANALYSIS ON HUMAN DEVELOPMENT INDEX SUB-NATIONAL DATA

2020 ◽  
Vol 9 (8) ◽  
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
National Data ◽  
Development Index ◽  
Spatial Regression Analysis

scholarly journals Pemodelan Indeks Pembangunan Manusia (IPM) Metode Baru Menurut Provinsi Tahun 2015 Menggunakan Geographically Weighted Regression (GWR)

2019 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Akbar Maulana ◽  
Renny Meilawati ◽  
Vita Widiastuti
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Geographically Weighted Regression ◽  
Human Development Index ◽  
Spatial Regression ◽  
Least Square ◽  
Gaussian Kernel ◽  
Weighted Regression ◽  
Development Index ◽  
Spatial Regression Analysis

<p>The Human Development Index (HDI) is a parameter of quality of life for an area. The HDI explains how residents can access the results of development in obtaining income, health and education. One method that can be used to find out the factors that influence the human development index in modeling is regression analysis of ordinary least square (OLS). In the Human Development Index data, there is a dependency between measuring data and the location of a region. Therefore, spatial regression analysis can be used in this study. The local form of spatial regression analysis is <em>geographically weighted regression</em> (GWR). GWR shows the existence of spatial heterogeneity (location). This study compares between OLS regression and GWR in the new human development index method by province in 2015. In the GWR model we use fixed Gaussian kernel and kernel fixed bisquare as weighted function. The optimal bandwidth value is obtained by minimizing the cross validation (CV) and Akaike information criterion (AIC) coefficients. The results showed that the GWR model with Gaussian kernel function is better than GWR with bisquare kernel function and OLS model.</p><p><strong>Keywords</strong><strong>: </strong>human development index, ordinary least square,<strong> </strong>geographically weighted regression, kernel fixed Gaussian,  kernel fixed bisquare</p>

ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP KEMISKINAN DI INDONESIA

2019 ◽  
Vol 2 (2) ◽  
pp. 77-89
Author(s):  
Saparuddin Mukhtar ◽  
Ari Saptono ◽  
As’ad Samsul Arifin
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Human Development ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Secondary Data ◽  
Lagrange Multiplier Test ◽  
Development Index ◽  
Analysis Techniques ◽  
Negative Effect

Abstract - This study aims to determine the effect of Human Development Index and Open Unemployment to poverty in Indonesia. The data in this study are secondary data about the human development index, the opened unemployment rate, and the percentage of poverty. The data is obtained from panel data of 33 provinces in Indonesia for 4 years from 2011 to 2014. The data analysis techniques uses regression analysis by using Random Effects based on the results of the Lagrange Multiplier test. The results showes that the Human Development Index hasa significant negative effect to poverty. Meanwhile, the level of opened unemployment has no significant effect to poverty in Indonesia. Keywords: Human Development Index, Opened Unemployment Rate, Poverty

scholarly journals Inequality in Human Development Index and suicide death in Iran: A National Register–Based Study

2017 ◽  
Vol 4 (07) ◽  
pp. 1435
Author(s):  
Yousef Veisani ◽  
Ali Delpisheh ◽  
Fathola Mohamadian ◽  
Maryam Baghri ◽  
Salman Khazaei
Keyword(s):  
Health Outcomes ◽  
Human Development ◽  
Human Development Index ◽  
Inverse Correlation ◽  
Regional Studies ◽  
National Data ◽  
Development Index ◽  
Suicide Death ◽  
Inequality In Health ◽  
The Moment

Pay attention to the effects of inequality in health outcomes has steadily risen during recent years. It is necessary step to achieve the goal of health for all (HFA) in the coming decades. At the moment, our knowledge about the inequality and suicide is limited. Human Development Index (HDI) is summary measures that we can demonstrate current inequalities regarded to health outcomes. We have reanalyzed the national data by Statistical Centre of Iran for HDI and Iranian Forensic Medicine Organization for suicide to explicate of inequality in suicide death in Iran. Our results showed an inverse correlation between HDI and suicide death, so that deaths from suicide was more occurred in provinces with lower HDI. Therefore, results in current study showed a positive inequality in suicide in relation with HDI in Iran. According to this, we suggested that regional studies will be conducted to detect subgroups with a high suicide risk as well as components of HDI that cause inequality.

scholarly journals The Nexus Between Good Governance Indicators And Human Development Index In Africa: An Econometric Analysis

2020 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Paulos C Tsegaw
Keyword(s):  
Regression Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Good Governance ◽  
Political Stability ◽  
Development Effort ◽  
Panel Regression ◽  
African Countries ◽  
Development Index ◽  
Governance Indicators

This study examines the association between good governance indicators and the human development index in Africa. Accordingly, it uses the panel data of 49 African countries from 2000-2018 on the six World Bank governance indicators (WGIs) and the UNDP aggregate human development index (HDI). The data are analyzed using descriptive statistics and panel regression analysis. The descriptive statistical analysis shows that most of the countries that are scoring high in the governance indicators are also scoring high in the human development index. It also indicates that Africa's average score in all governance indicators from 2000-2018 ranges between 36.2 % and 40.4%, while the score for human development was 50.8%. Using a one-year moving average, the calculated improvement rates for the eighteen years in all the governance and human development indicators were meager. The finding from the panel regression analysis attests only the three good governance indicators - the rule of law, regulatory quality, and political stability and absence of violence - are significantly and directly associated with the human development index. The finding implies that policy makers in African countries should give emphasis on these three good governance indicators to augment their human development effort.

scholarly journals Alokasi Belanja Rutin dan Belanja Modal pada Indeks Pembangunan Manusia Tahun Anggaran 2015-2017

2021 ◽  
Vol 31 (9) ◽  
pp. 2195
Author(s):  
Petrus Kakadir ◽  
I Gusti Ngurah Agung Suaryana ◽  
I Gusti Ayu Made Asri Dwija Putri ◽  
Ni Gusti Putu Wirawati
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Human Development ◽  
Human Development Index ◽  
Capital Expenditure ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Expenditures ◽  
Development Index ◽  
Analysis Technique

This study aims to determine the effect of routine and capital expenditure allocations on the human development index in the regency/municipality of Papua province. This study covers 29 districts/cities in the province of Papua using an associative quantitative approach. The analysis technique used is multiple linear regression analysis technique. The results of the analysis show that routine expenditures have a positive and significant effect on the human development index, while capital expenditures have a negative and non-significant effect on the human development index. The failure of capital expenditures to affect the human development index occurred, in addition to the low amount of capital expenditure allocated in an effort to improve people's welfare, also due to the allocation of capital expenditures that had not been carried out on target. Keywords: Routine Shopping; Capital Expenditures; Human Development Index.

scholarly journals NON-HYBRID ENSEMBLE SPATIAL REGRESSION ON HUMAN DEVELOPMENT INDEX (IPM) in CENTRAL JAVA

2020 ◽  
Vol 1 (1) ◽  
pp. 23-34
Author(s):  
Evi Ardiati Sazaen
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Spatial Regression ◽  
Development Index ◽  
Central Java ◽  
A Value ◽  
Region Model ◽  
Spatial Method ◽  
Classical Linear Regression ◽  
Broad Dimension

The human development index (HDI) is a measure to see an increase in regional development that has a very broad dimension, because it increases the quality of the population of an area in terms of life expectancy, education, and decent standard of living. In 2010 the Central Java HDI increased by 66.08% and increased by 4.44%, with the total HDI in 2017 of 70.52 percent. Spatial regression is the development of classical linear regression involving the region model. Spatial regression ensemble is a technique to be sent spasi spatial regression models by adding noise (additive noise). The type of spatial weighting used is Queen Contiguity. The selection of the best model using AIC and RMSE values. The purpose of this study is to provide an assessment of the distribution of HDI data in the Province of Central Java in 2017 and to do modeling using non-hybrid spatial ensemble regression regression. The results of this study are the SAR spatial method with ensemble giving results with AIC value of 143 and RMSE value of 1.3899 with a value of  90.09%. Significant variables on HDI are population density (X1), poverty (X2), school participation rates (X5), and average per capita per month for food and non-food (X7).

scholarly journals Factors Identification for Human Development Index

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Anam Javaid ◽  
Atif Akbar
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Human Development ◽  
Survey Data ◽  
Human Development Index ◽  
Economic Condition ◽  
Health Index ◽  
Development Index ◽  
Dependent Factor ◽  
Significant Factors

Human development index matters a lot for the economic condition of a country. It can be calculated with the help of the education index, health index, and GDP. So, by looking only at the value of the human development index (HDI), the economy of the country can be judged. The contribution of this research project is the identification of factors related to human development. The factors include the availability of the basic necessities, facilities related to education, health, and income. For this purpose, different important factors have been observed for the Multan district by taking MICS (2007-2008) survey data. Logistic regression is applied for the purpose of analysis. Significant factors are noted in each regression analysis based on the dependent factor.

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