scholarly journals Modeling Human Development Index of Bali with Spatial Panel Data Regression

2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Spatial Error ◽  
Development Index ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, UPAH MINIMUM DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP TINGKAT PENGANGGURAN DI PROVINSI JAWA TIMUR TAHUN 2008-2014

2014 ◽  
Vol 12 (1) ◽  
pp. 48
Author(s):  
Muhammad Nurcholis
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Unemployment Rate ◽  
Human Development Index ◽  
Analysis Model ◽  
Development Index ◽  
Panel Data Regression ◽  
Data Regression

In this study, the expected goal is to determine the distribution, classification and influence economic growth, minimum wage, and the Human Development Index of the level of unemployment in East Java Province 2008-2012. This research uses descriptive quantitative research methods. Data analysis in accordance with the formulation of the problem and the purpose of the study is using panel data regression analysis model and using the classification of the intensity and GIS. Based on panel data regression results show that perumbuhan economy, the minimum wage and the human development index have a significant effect on the unemployment rate. Variable economic growth and the negative effect of minimum wages, while the human development index positive effect. As for testing the F calculation, economic growth, the minimum wage and the human development index have a significant effect on the unemployment rate.

scholarly journals Pengaruh Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung

SOROT ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 43
Author(s):  
Erlangga Hadinata ◽  
Devi Valeriani ◽  
Suhartono Suhartono
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Government Spending ◽  
Human Development Index ◽  
Fixed Effect ◽  
Domestic Product ◽  
Development Index ◽  
Analysis Techniques ◽  
Panel Data Regression ◽  
Data Regression

Tujuan penelitian ini untuk melihat pengaruh Produk Domestik Regional Bruto (PDRB) dan belanja pemerintah fungsi pendidikan terhadap Indeks Pembangunan Manusia (IPM) Provinsi Kepulauan Bangka Belitung periode 2014-2018. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan adalah data panel kabupaten/kota di Provinsi Kepulauan Bangka Belitung yang terdiri dari Bangka, Belitung, Bangka Barat, Bangka Tengah, Bangka Selatan, Belitung Timur, dan Pangkal Pinang tahun 2014-2018. Teknik analisis data dalam penelitian ini menggunakan analisis regresi data panel dengan model fixed effect. Hasil penelitian menunjukkan bahwa Produk Domestik Regional Bruto dan belanja pemerintah fungsi pendidikan berpengaruh positif dan signifikan terhadap Indeks Pembangunan Manusia di Provinsi Kepulauan Bangka Belitung.The purpose of this study was to examine the effect of Gross Regional Domestic Product (GRDP) and government spending in the education function on the Human Development Index (HDI) of the Province of Bangka Belitung Islands in the 2014-2018 period. This study uses a quantitative approach. The data used are district / city panel data in the Bangka Belitung Islands Province consisting of Bangka, Belitung, West Bangka, Central Bangka, South Bangka, East Belitung, and Pangkal Pinang in 2014-2018. Data analysis techniques in this study used panel data regression analysis with Fixed Effect models. Research Results Show that the Gross Regional Domestic Product and government spending in the education function have a positive and significant effect on the Human Development Index in the Bangka Belitung Islands Province.

scholarly journals Pengaruh Upah Minimum, Kemiskinan dan Pengangguran pada IPM di Kabupaten/Kota Provinsi Jawa Timur

2021 ◽  
Vol 12 (2) ◽  
pp. 214-227
Author(s):  
Moh. Faizin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Human Development Index ◽  
Development Index ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Country Today

The paradigm of development of a country today is not only measured by the rate of economic growth, but also by paying attention to human development. The purpose of this study was to analyze the effect of minimum wages, poverty and unemployment on the Human Development Index (HDI) in districts/cities in East Java Province. The method used is panel data regression in 38 districts/cities in East Java in 2010/2018. The results showed partially, the minimum wage has a positive and significant effect, poverty has a negative but not significant effect, and unemployment has a negative and significant effect, toward HDI. Simultaneously, the results found that the three independent variables (i.e.: minimum wage, poverty and unemployment) had a significant effect on HDI.

scholarly journals Pengaruh Belanja Daerah Terhadap Indeks Pembangunan Manusia Di Provinsi Papua Periode 2011 Hingga 2013 Dalam Perspektif Ekonomi Islam

2017 ◽  
Vol 3 (5) ◽  
pp. 359
Author(s):  
Firly Dwitya Kamilia ◽  
Tika Widiastuti
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Health Spending ◽  
Financial Statements ◽  
Education Spending ◽  
Development Index ◽  
Education And Health ◽  
Panel Data Regression ◽  
Data Regression ◽  
Regression Techniques

The aim of this study was to determine the effect of education spending and healthspending on the Human Development Index (HDI) in Papua Province period 2011-2013. Themethod used is quantitative method with panel data regression techniques. The data used issecondary data by collecting data annual financial statements Papua Province in theperiod 2011-2013 which includes education and health spending data across district in theprovince of Papua.Panel data regression conducted showed that spending on education (X1) positive andsignificant impact on the human development index in province of Papua and healthspending (X2) has no effect on the human development index in Papua as well as spendingon education and helath spending simultaneously affect the human development index inPapua Province 2011-2013.

scholarly journals Inefficiencies in a healthcare system with a regulatory split of power: a spatial panel data analysis of avoidable hospitalisations in Austria

2019 ◽  
Vol 21 (1) ◽  
pp. 85-104
Author(s):  
Anna-Theresa Renner
Keyword(s):  
Panel Data ◽  
Bayesian Model Averaging ◽  
Panel Data Analysis ◽  
Model Averaging ◽  
Social Health Insurance ◽  
Population Characteristics ◽  
University Education ◽  
Spatial Error ◽  
Spatial Panel ◽  
Spatial Panel Data

Abstract Despite generous universal social health insurance with little formal restrictions of outpatient utilisation, Austria exhibits high rates of avoidable hospitalisations, which indicate the inefficient provision of primary healthcare and might be a consequence of the strict regulatory split between the Austrian inpatient and outpatient sector. This paper exploits the considerable regional variations in acute and chronic avoidable hospitalisations in Austria to investigate whether those inefficiencies in primary care are rather related to regional healthcare supply or to population characteristics. To explicitly account for inter-regional dependencies, spatial panel data methods are applied to a comprehensive administrative dataset of all hospitalisations from 2008 to 2013 in the 117 Austrian districts. The initial selection of relevant covariates is based on Bayesian model averaging. The results of the analysis show that supply-side variables, such as the number of general practitioners, are significantly associated with decreased chronic and acute avoidable hospitalisations, whereas characteristics of the regional population, such as the share of population with university education or long-term unemployed, are less relevant. Furthermore, the spatial error term indicates that there are significant spatial dependencies between unobserved characteristics, such as practice style or patients’ utilization behaviour. Not accounting for those would result in omitted variable bias.

scholarly journals MEMODELKAN TINGKAT PENGANGGURAN TERBUKA DI INDONESIA

2021 ◽  
Vol 10 (1) ◽  
pp. 20
Author(s):  
KADEK YUSA MAHENDRA ◽  
MADE SUSILAWATI ◽  
NI LUH PUTU SUCIPTAWATI
Keyword(s):  
Panel Data ◽  
Unemployment Rate ◽  
Fixed Time ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province ◽  
Head Count ◽  
Spatial Panel Data ◽  
Significant Factors

Unemployment is one of the problems in the field in economic development. To determine the development of open unemployment in a region, an indicator of the open unemployment rate is used. The highest of open unemployment rate is Aceh Province and Maluku Province in 2015 at 9,93 percent and the lowest Bali Province in 2018 at 1,37 percent. The purpose of this work is to modeling and determine the significant factors that affect the open unemployment rate in Indonesia by applying spatial panel data regression. The results show indicate that there is no effect of spatial dependence on the model, so the model chosen to model the open unemployment rate in Indonesia is a panel data model with a fixed time effect and significant affect by head count index, the percentage of illiterate people, the provincial minimum wage, and the number of the workforce.

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