scholarly journals Pengaruh angka harapan hidup, rata-rata lama sekolah dan pengeluaran perkapita terhadap tingkat kemiskinan pada Kabupaten /Kota di Provinsi Jambi

2021 ◽  
Vol 10 (3) ◽  
pp. 223-232
Author(s):  
Ropikatul Hasanah ◽  
Syaparuddin Syaparuddin ◽  
Rosmeli Rosmeli
Keyword(s):  
Panel Data ◽  
Life Expectancy ◽  
Analytical Method ◽  
Average Length ◽  
Poverty Level ◽  
Capita Expenditure ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Poverty Levels

This study aims to analyze the development of life expectancy, the average length of schooling, expenditure per capita, and poverty level in districts/cities in Jambi Province, as well as analyze the effect of life expectancy, the average length of schooling, and expenditure per capita on poverty levels. The analytical method used is panel data regression. The results of this study indicate that. After the Chow and Hausmant test, the best model is the Fixed effect. Partially, the analysis results of the variable life expectancy and expenditure per capita significantly impact the poverty level. At the same time, the average length of school does not have a significant effect. Simultaneously, life expectancy, the average schooling size, and per capita expenditure significantly impact poverty levels in districts/cities in Jambi province  Keywords: Poverty, Life expectancy, Length of schooling, Expenditure per capita

scholarly journals Analisis pengaruh pendapatan perkapita dan belanja modal terhadap tingkat kemiskinan di Pulau Sumatera

2019 ◽  
Vol 8 (3) ◽  
pp. 135-148
Author(s):  
Wenny Tri Septiani ◽  
Zamzami Zamzami ◽  
Candra Mustika
Keyword(s):  
Panel Data ◽  
Capita Income ◽  
Capital Expenditure ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Poverty Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Poverty Levels

This study aims to: 1) To analyze and determine the development of per capita income, capital expenditure, and poverty levels on the island of Sumatra. 2) To analyze and determine the effect of per capita income and capital expenditure on poverty levels in Sumatra Island. The research analysis tool used panel data regression analysis tools. Based on the results of panel data regression, it can be concluded that per capita income and capital expenditure on the poverty level together have a significant effect. Whereas partially only the per capita income variable had a significant and negative effect on the poverty level, while capital expenditure had no significant and positive effect on the poverty level. Keywords: Poverty rate, Per capita income, Capital expenditures

scholarly journals ANALISIS REGRESI DATA PANEL PADA INDEKS PEMBANGUNAN GENDER (IPG) JAWA TENGAH TAHUN 2011-2015

2020 ◽  
Vol 4 (1) ◽  
pp. 89-96
Author(s):  
Intan Lukiswati ◽  
Anik Djuraidah ◽  
Utami Dyah Syafitri
Keyword(s):  
Panel Data ◽  
School Enrollment ◽  
Explanatory Variables ◽  
Capita Expenditure ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Enrollment Rates ◽  
Gender Development Index ◽  
Gender Based

The Gender Development Index (GDI) is a measure of the level of achievement of gender-based human development in Indonesia. Central Java Province is the largest province in Java with a GDI rate which tends to increase during the period of 2011 to 2015. Central Java's GDI, when compared to other provinces on Java Island, ranks third after DKI Jakarta and DI Yogyakarta. Central Java’s GDI consists of several observations for a certain period of time so that panel data regression analysis can be used. The purpose of this study was to model the GDI of women in Central Java with panel data regression and find out which explanatory variables significantly affected women's GDI in Central Java from 2011 to 2015. The results of this study indicate that explanatory variables that significantly influence women's GDI in Central Java are life expectancy, primary school enrollment rates, high school enrollment rates, and per capita expenditure.  

scholarly journals DETERMINAN INDEKS KEBAHAGIAAN DI INDONESIA

2021 ◽  
Vol 7 (2) ◽  
pp. 34
Author(s):  
Imawan Azhar Ben Atasoge
Keyword(s):  
Panel Data ◽  
Regression Model ◽  
Gini Index ◽  
Well Being ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Subjective States

ABSTRAK  Tolok ukur untuk melihat kemakmuran sebuah Negara dapat dilihat dari GDP yang ada di negara tersebut. Ukuran kesejahteraan tidak hanya diukur berdasarkan substansi akan tetapi diukur berdasarkan keadaan subjektif atau kebahagiaan. Tujuan dari penelitian ini ialah mengetahui faktor yang mempengaruhi kebahagiaan di Indonesia periode 2014 dan 2017. Analisis yang digunakan yaitu model regresi data panel. Penelitian ini menunjukkan bahwa variabel pendidikan, kesehatan, indeks gini serta zis berpengaruh secara terhadap kebahagiaan di Indonesia. Sedangkan variabel PDRB per kapita, kemiskinan, dan Indeks Demokrasi. Kata Kunci: Indeks Kebahagiaan, IPM, Kemiskinan, Indeks Gini, Zakat, Indeks Demokrasi ABSTRACTThe benchmark for seeing the prosperity of a country can be seen from the GDP in that country. The measure of well-being is not only measured based on substance but is measured based on subjective states or happiness. The purpose of this study is to determine the factors that influence happiness in Indonesia for the period 2014 and 2017. The analysis used is a panel data regression model. This study shows that the variables of education, health, Gini index and zis have a significant effect on happiness in Indonesia. While the variables are per capita GRDP, poverty, and the Democracy Index.Keywords: Happiness Index, HDI, Poverty, Gini Index, Zakat, Democracy Index

scholarly journals The Effect of Operational Risk, Credit Risk And Revenue Diversification on Profitability

2022 ◽  
Vol 7 (1) ◽  
pp. 9-13
Author(s):  
Muhammad Pondrinal ◽  
Ronni Andri Wijaya ◽  
Thariq Al Adli
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Credit Risk ◽  
Analytical Method ◽  
Operational Risk ◽  
Revenue Diversification ◽  
Income Diversification ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of Operational Risk, Credit Risk and Income Diversification on Profitability in banking companies listed on the IDX for the 2016-2020 period.The analytical method used is Panel Data Regression analysis. The results obtained from this study: i) Operational Risk has a positive and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. ii) Credit Risk has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iii) Income Diversification has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iv) Operational Risk, Credit Risk and Diversification have a positive and significant simultaneously positive and significant effect on Profitability in Banking companies listed on the IDX for the 2016-2020 period.

scholarly journals Analysis of Factors Affecting Poverty in West Nusa Tenggara Province, Indonesia

2018 ◽  
Vol 73 ◽  
pp. 09005
Author(s):  
Supriaman ◽  
Firmansyah ◽  
Yusuf Agung Gunanto Edy
Keyword(s):  
Poverty Alleviation ◽  
National Level ◽  
Work Force ◽  
Poor People ◽  
Poverty Level ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Underdeveloped Region

Poverty is a fundamental and multidimensional problem in economic development, especially in developing countries such as Indonesia and underdeveloped region such as Nusa Tenggara Barat province. The percentage of poor people in Nusa Tenggara Barat is relatively higher compared to the percentage of poor people in national level. This study aims to analyze the factors which influence the poverty level in Nusa Tenggara Barat. By employing a panel data regression of 10 Regencies/Cities along 2010-2015, the study finds that the work force skill, investment and income per capita have significant effect to poverty level. The coefficient of work force skill has the highest impact to the level of poverty, which means that that variable is a major factor in reducing poverty in 10 Regencies/Cities of West Nusa Tenggara Province. Based on the results, the study recommends the policy that promote poverty alleviation need to be strengthened by communities and governments.

scholarly journals MODEL REGRESI DATA PANEL UNTUK MENGETAHUI FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI PULAU MADURA

2020 ◽  
Vol 9 (3) ◽  
pp. 355-363
Author(s):  
Artanti Indrasetianingsih ◽  
Tutik Khalimatul Wasik
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Poverty arises when a person or group of people is unable to meet the level of economic prosperity which is considered a minimum requirement of a certain standard of living or poverty is understood as a state of lack of money and goods to ensure survival. Panel data regression is the development of regression analysis which is a combination of time series data and cross section data. Panel data regression is usually used to make observations of data that is examined continuously for several periods. The purpose of this study is to determine the factors that influence the level of poverty in Madura Island in the period 2008 - 2017. In this study the variables used in this study are life expectancy (X1), average length of school (X2), level open unemployment (X3), and labor force participation (X4) with the Comman Effect Model (CEM) approach, Fixed Effect Model and Random Effect Model (REM). To choose the best model from the three is the chow test, the hausman test and the breusch-pagan test. In this study, the best model chosen was the Fixed Effect Model. Keywords: CEM, Fixed Effect Model, Data Panel Regression, REM, Poverty level.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI EARNINGS QUALITY PADA PERUSAHAAN MANUFAKTUR DI INDONESIA

2021 ◽  
Vol 17 (1) ◽  
pp. 39
Author(s):  
Tony Sudirgo
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Analytical Method ◽  
Sampling Method ◽  
Earnings Quality ◽  
Financial Statements ◽  
Manufacturing Companies ◽  
Board Diversity ◽  
Panel Data Regression ◽  
Data Regression

<p><em>The purpose of this study is to analyze board diversity, leverage</em><em> an</em><em>d</em><em> </em><em>profitability of earnings quality in manufacturing companies listed in Indonesia </em><em>S</em><em>tock </em><em>E</em><em>xchange, especially from period 2016-2018 as population. Purpose sampling as a sampling method with a total of 105 data in the form of financial statements from www.idx.co.id. The analytical method used is panel data regression analysis with the E-Views 9.0 program. The results of the study indicate that only profitability affects earnings quality while </em><em>Board diversity</em><em> </em><em>an</em><em>d leverage</em><em> </em><em>don’t affect earnings quality.</em></p>

scholarly journals ANALISIS DAMPAK KEBIJAKAN ALOKASI DANA OTONOMI KHUSUS BIDANG PENDIDIKAN DAN KESEHATAN TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA

2020 ◽  
Vol 3 (1) ◽  
pp. 1 ◽  
Author(s):  
Virgie Delawillia Kharisma ◽  
Palupi Lindiasari Samputra ◽  
Payiz Zawahir Muntaha
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Poverty Level ◽  
Development Index ◽  
Education And Health ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
The Government ◽  
The Impact

This study aims to assess the impact of the Special Autonomy Fund in Papua Province on the Human Development Index measured through the allocation of the Special Autonomy Fund in education and health. The government is trying to accelerate the development of Papua, one of which is through the Special Autonomy Fund. This study uses a quantitative approach with panel data regression, covering: 2014-2017 data in 29 districts/cities in Papua Province, each variable, namely: HDI, GRDP per Capita, Allocation of Special Autonomy Funds in Education, Allocation of Special Autonomy Funds in Health and poverty level. The results of the study concluded that the Special Autonomy Fund did not have a significant effect on increasing the Human Development Index in Papua Province in 2014-2017. Strategic efforts in development in Papua are needed not only through the distribution of the Special Autonomy Fund, but also the enhancement of the capacity of the apparatus, evaluation of the method of channelling and utilizing the Special Autonomy Fund, and other policies with a local wisdom approach.

scholarly journals ANALISIS DETERMINAN KEMISKINAN DI PROVINSI JAWA TENGAH

JEJAK ◽  
2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Dita Wahyu Puspita
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Total Population ◽  
Poverty Level ◽  
Literacy Rate ◽  
Section Data ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression

<p>This study aims to determine factors of poverty in the province of Central Java period 2008 to 2012. Central Java province was chosen because it has the second highest poverty level among 33 provinces in Indonesia. In this study, the factors that infl uence poverty are the numbers of population live in poverty, unemployment, Gross Regional Domestic Product (GDP) and literacy rate. The method used is the panel data regression. Panel data is the data that combines the time series and cross-section data. In this study, it is found that unemployment, GDP and total population have signifi cant aff ect on poverty in the province of Central Java.</p><p>Penelitian ini bertujuan untuk mengetahui determinan kemiskinan di provinsi Jawa Tengah periode 2008 sampai 2012. Dipilihnya Jawa Tengah karena dari 33 provinsi yang ada di Indonesia, Jawa Tengah merupakan provinsi dengan penduduk miskin terbanyak ke dua. Dalam penelitian ini faktor-faktor yang mempengaruhi kemiskinan di antaranya yaitu jumlah penduduk miskin, banyaknya pengangguran, Pendapatan Domestik Regional Bruto (PDRB) dan Angka Melek Huruf dan semua variable tadi dipilih periode 2008 sampai 2012. Metode penelitian yang digunakan yaitu metode regresi data panel. Data panel merupakan data yang menggabungkan antara data time series dan data cross-section. Dalam penelitian ini pula ditemukan bahwa pengaruh pengangguran, PDRB dan jumlah atau populasi penduduk Jawa Tengah signifi kan. Artinya berpengaruh pada kemiskinan di provinsi Jawa Tengah.</p>

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..

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