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.

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 PEMODELAN DATA KEMISKINAN PROVINSI JAWA TENGAH MENGGUNAKAN FIXED EFFECT SPATIAL DURBIN MODEL

2019 ◽  
Vol 8 (2) ◽  
pp. 220-232
Author(s):  
Siska Alvitiani ◽  
Hasbi Yasin ◽  
Mochammad Abdul Mukid
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Spatial Durbin Model ◽  
Spatial Panel ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data ◽  
Independent Variable ◽  
Poor Population

Based on data from the Central Statistics Agency, Central Java has 4,20 million people (12,23%) poor population in 2017 with Rp333.224,00 per capita per month poverty line. So, Central Java has got the second rank after East Java as the province which has the highest poor population in indonesia in 2017. In this research use the fixed effects spatial durbin model method for modeling poor population in each city in Central Java at 2014-2017. The spatial durbin model is a spatial regression model which contains a spatial dependence on dependent variable and independent variable. If the spatial dependence on dependent variable or independent variables is ignored, the resulting coefficient estimator will be biased and inconsistent. The fixed effect is one of the panel data regression models which assumes a different intercept value at each observation but fixed at each time, and slope coefficient is constant. The advantage of using fixed effects in spatial panel data regression is able to know the different characteristics in each region. The dependent variable used is poor population in each city in Central Java, and the independent variable is Minimum Wage, Life Expectancy, School Participation Rate 16-18 Years, Expected Years of Schooling, Total Population, and Per Capita Expenditure. The results of the analysis shows that the fixed effects spatial durbin model is significant and can be used. The variables that significantly affect the model are the Life Expectancy and Expected Years of Schooling, and the coefficient of determination (R2) is 99.95%. Keywords: Poverty, Spatial, Panel Data, Fixed Effects Spatial Durbin Model

scholarly journals Determinan Tingkat Pengangguran Terbuka di Provinsi Banten Tahun 2008-2013

2017 ◽  
Vol 4 (2) ◽  
pp. 169
Author(s):  
Sunlip Wibisono ◽  
Jefti Sidania ◽  
Rafael Purtomo S
Keyword(s):  
Panel Data ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Analytical Tool ◽  
Minimum Wages ◽  
Domestic Product ◽  
Regression Methods ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study was to determine of the effect of population, Gross Regional Domestic Product (GDP), and the Minimum Wages District (UMK) on the level of open unemployment rate in Banten Province. The data that used in this research was secondary data and data obtained Bps and relevance agencies. The analytical tool used in this research is panel data regression methods Fixed Effext Model (FEM). The object of this research is the district/city in Banten Province Period 2008-2013. The results of the research conducted is known that the number of populaton, GDP, and UMK significantly along the open unemployment rate in Banten Province. Keywords : Open unemployment rate, Population, GDP, and UMK

scholarly journals Pengaruh AHH, AHLS Dan PDRB Terhadap Jumlah Penduduk Miskin Di Provinsi Aceh

2020 ◽  
Vol 9 (1) ◽  
pp. 17
Author(s):  
Siti Khodijah Bancin ◽  
Umaruddin Usman
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Life Expectancy ◽  
Domestic Product ◽  
Poor People ◽  
Analysis Method ◽  
Insignificant Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province

This study aims to determine the effect of life expectancy, school lenght expectancy, and gross regional domestic product on the number of poor people in Aceh Province. The data used in this study is panel data from 2011 to 2017. The data analysis method used is panel data regression analysis.This study uses panel data from 2011 to 2017. The data analysis method used is the Panel data regression analysis. The results partially show that life expectancy has a negative and insignificant effect on the number of poor people in Aceh Province, school length expectancy has a positive but insignificant effect on the number of poor people in Aceh Province, and the Gross Regional Domestic Product has a negative and insignificant effect on the poor people in Aceh Province. Simultaneously, life expectancy, school length expectancy, and gross regional domestic product have a positive and significant effect on the number of poor people in Aceh Province..

scholarly journals PENGARUH PENDAPATAN ASLI DAERAH, DANA ALOKASI UMUM DAN DANA OTONOMI KHUSUS TERHADAP TINGKAT KEMISKINAN DI PROVINSI ACEH PERIODE 2010-2017

2020 ◽  
Vol 3 (2) ◽  
pp. 23
Author(s):  
Muhammad Kadafi ◽  
Murtala Murtala
Keyword(s):  
Panel Data ◽  
Poverty Rate ◽  
Provincial Government ◽  
Research Model ◽  
Local Revenue ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province

This study aims to analyze the Effect of Local original Revenue, General Allocation Funds and Special Autonomy Funds on Poverty Rates in Aceh Province 2010-2017. The data used in this study are panel data from 2010 to 2017. This research model uses panel data regression. Results of the study Partially the local original revenue and the special autonomy fund did not affect poverty in the Aceh Provincial Government, the general allocation fund affected the poverty in the Aceh Provincial Government. Simultaneously, local original revenue, general allocation funds and special autonomy funds affect poverty in the Aceh Provincial Government.Keywords: Local Revenue, General Allocation Fund, Special Autonomy Fund, Poverty Rate

scholarly journals PENGARUH PDB, JUMLAH PENDUDUK DAN INDEKS PEMBANGUNAN MANUSIA TERHADAP KEMISKINAN PADA KAB/KOTA DI PROVINSI ACEH

2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Jannatun Nufus ◽  
Ratna Husein
Keyword(s):  
Panel Data ◽  
Local Governments ◽  
Total Population ◽  
Secondary Data ◽  
Analysis Method ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province ◽  
Negative Effect

This study aims to determine the effects of GRDP, population, and HDI on poverty in 23 districts/cities in Aceh Province. This study uses secondary data obtained from the Central Bureau of Statistics during 2012-2018 and cross-section data from 23 districts/cities, thus forming a total panel data of 161 data. The data analysis method used is a panel data regression model using the Eviews 9 program. The results show that partially the GRDP and population do not have a significant and negative effect on poverty in districts/cities in Aceh Province. Meanwhile, HDI partially has a significant and negative effect on the poverty of districts/cities in Aceh Province. The magnitude of the influence of GRDP, total population, and HDI on poverty is 0.374 (37.4%), while those influenced by other variables outside this model are 0.626 (62.6%). Suggested: Local governments should increase sub-sector efforts to boost GDP, to reduce poverty levels.Keywords:Poverty, GRDP, Total Population, Human Development Indekx

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 Determinant Analysis of Open Unemployment Level in Banten Province, 2018 Using Panel Data Regression

2020 ◽  
Vol 2 (2) ◽  
pp. 191-201
Author(s):  
Isdhani Nurrahmah ◽  
Roy Pratama Wijaya ◽  
Syifa Rahmawati Hakim ◽  
Yusuf Yahya ◽  
Rani Nooraeni
Keyword(s):  
Growth Rate ◽  
Panel Data ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Participation Rate ◽  
Poor People ◽  
Annual Data ◽  
School Participation ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyse the relationship of crude school participation rate, the number of poor people, and the GDRP growth rate to the open unemployment rate in Banten. The analytical method used in this study is panel data regression with fixed effect model estimation which is processed using statistical software EViews 10. The data that are used in this study are secondary data from Badan Pusat Statistik (BPS), by taking annual data for each district in Banten province from 2011 until 2018. The results of this study indicate that the GDRP growth rate significantly affects the open unemployment rate, but the crude school participation rate and the number of poor people do not significantly affect the open unemployment rate in Banten.

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