scholarly journals Pengaruh ketimpangan pendapatan dan kemiskinan terhadap pertumbuhan ekonomi antar pulau di Indonesia

2019 ◽  
Vol 14 (2) ◽  
pp. 55-66
Author(s):  
Selamet Rahmadi ◽  
Parmadi Parmadi
Keyword(s):  
Economic Growth ◽  
Fixed Effect Model ◽  
Model Estimation ◽  
Estimation Model ◽  
Hausman Test ◽  
Pooled Data ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Estimation Models

This study aims to find out and analyze the effect of income inequality and poverty on economic growth on each island in Indonesia. To answer these objectives, panel data regression (pooled data) is used. The results of the study show: (1). the best regressions on estimation models are based on the Chow and the Hausman test using the Fixed Effect Model estimation model for each island in Indonesia. (2). Income and poverty inequality negatively affected economic growth in all islands in Indonesia during the 2015-2018.

scholarly journals Faktor-Faktor Yang Mempengaruhi Capital Adequacy Ratio (CAR) Bank Umum Syariah di Indonesia

2017 ◽  
Vol 4 (4) ◽  
pp. 312
Author(s):  
Yeano Dwi Andhika ◽  
Noven Suprayogi
Keyword(s):  
Fixed Effect Model ◽  
Capital Adequacy ◽  
Islamic Banks ◽  
Estimation Model ◽  
Return On Equity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Capital Adequacy Ratio ◽  
Data Regression ◽  
Level Of Significance

Capital adequacy regulation imposed on banks, including Islamic banks, is part of the regulators’ efforts to ensure that banks have adequate capital in order to get them prepared facing the risks that might arise in their operations. This research aims to find the effects of Islamic banks’ specific variables on Capital Adequacy Ratio (CAR), the capital adequacy indicator in banks.Using panel data regression, this research investigates the possible effects of four bank spesific variables which are Bank Size (LNSIZE), Non-Performing Financing (NPF), Return on Equity (ROE), and Financing to Deposit Ratio (FDR) on Capital Adequacy Ratio (CAR). There are 11 Indonesia’s Islamic commercial banks during 2011 to 2015 used as sample. As Fixed Effect Model (FEM) chosen to be the estimation model, this research indicates that LNSIZE, NPF, ROE and FDR have significant effects on CAR with different level of significance.

scholarly journals PERTUMBUHAN EKONOMI, DISPARITAS PENDAPATAN DAN KESEJAHTERAAN KABUPATEN/KOTA DI PROVINSI NUSA TENGGARA BARAT

GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Disparity ◽  
The People ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.

scholarly journals PENERAPAN REGRESI DATA PANEL PADA ANALISIS PENGARUH INFRASTRUKTUR TERHADAP PRODUKTIFITAS EKONOMI PROVINSI-PROVINSI DI LUAR PULAU JAWA TAHUN 2010-2014

2018 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Yosephine Magdalena Sitorus ◽  
Lia Yuliana
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Seemingly Unrelated Regression ◽  
Total Output ◽  
Economic Productivity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

There is inequality between the economic growth of provinces in Java and outside of Java. The total area of Java  is only 6,77% from total area of Indonesia but the Growth Domestic Product (GDP) based on constant price in 2014, Java contributed 57,8% of the GDP total Indonesia. One cause that made this disparity is the development of infrastructure in outside Java is still weak. The development of infrastructure is a basic element for increasing total output production that later will increase the economic growth. However, there are so many problems that occur in developing the infrastructure in outside of Java. This study aimed to analyze the condition of infrastructure provinces outside Java in 2010-2014. The data used is the secondary data for 27 provinces outside of Java 2010-2014 from BPS. The analytical method used is panel data regression with fixed effect model and Seemingly Unrelated Regression (SUR) Model. Based on the results, the infrastructure that affects economic productivity significantly and positively is road infrastructure, health, and budget. Infrastructure that affects economic productivity significantly and negatively is the educational infrastructure. Water and electricity infrastructure did not significantly affect economic productivity.Keywords: Infrastructure, Economic productivity, Panel Data Regression, Fixed Effect Model

scholarly journals Determinan Nilai Perusahaan Manufaktur : Model Pengujian dengan Chow-Test dan Hausman-Test

2018 ◽  
Vol 2 (1) ◽  
pp. 57-69
Author(s):  
Evelyn Wijaya
Keyword(s):  
Fixed Effect Model ◽  
Fixed Effect ◽  
Internal Factors ◽  
Hausman Test ◽  
Chow Test ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Financial Decision ◽  
Internal And External Factors

The aim of company establishing is to increase company’s value in order to give prosperity for its stakeholders. And there are many internal and external factors can influence the company’s value. So, this study has aim to analyze determinant of manufacture companies’s value by using Chow-Test and Hausman-Test. This study has 109 manufacture companies with purposive sampling method and uses panel data regression as data analysis method. The examination of study model by using Chow-Test and Hausman-Test shows that the proper study model examination is Fixed Effect Model (FEM). The result of Fixed Effect Model shows that company size influences positifically and significantly on company’s value. Then, institutional ownership and investment policy influence negatively and significantly on company’s value. While, profitability, funding decision, devident policy, managerial ownership and cash holding do not influence significantly on company’s value. As there is supervision from institution party on management performance, it is going to make management do financial decision that related with company’s value movement carefully.    Keywords: Company’s internal factors, Agency Theory and Company’s value

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

scholarly journals Pengaruh Pendapatan Asli Daerah dan Dana Alokasi Umum Terhadap Belanja Modal Pada 19 Kabupaten dan Kota di Sumatera Barat

2021 ◽  
Vol 5 (1) ◽  
pp. 61-70
Author(s):  
Joni Fernandes ◽  
Devi Oktavia
Keyword(s):  
Sampling Technique ◽  
Fixed Effect Model ◽  
Capital Expenditures ◽  
Local Revenue ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
West Sumatra ◽  
Basic Infrastructure ◽  
Positive Effect

The low absorption of the budget in capital expenditures can have an impact, including, for example, the poor local infrastructure that is currently owned and the absence of a significant additional number of projects in the new infrastructure sector, the absence of basic infrastructure such as ports, roads, clean water processing and generators electricity. The purpose of this study was to determine how much influence local revenue and general allocation funds have on capital expenditures in 19 districts and cities in West Sumatra for the 2015–2019 period. Total sampling method is used for the sampling technique and obtained 95 data. The Central Bureau of Statistics of West Sumatra Province is a place for data collection through the website www.sumbar.bps.go.id. Panel data regression analysis is the analysis method used  with the help of the E-Views 8 application. After the Hausman-Test was carried out, it was decided to use the Fixed Effect Model method. The results showed that there was a positive effect of PAD and DAU on capital expenditures, both individually and collectively.

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals PENINGKATAN TARIF CUKAI ROKOK DAN DAMPAKNYA TERHADAP PEREKONOMIAN DAN PENDAPATAN SEKTORAL JAWA TENGAH

KINERJA ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 99
Author(s):  
Fatoni Ashar ◽  
Firmansyah ,
Keyword(s):  
Panel Data ◽  
Household Income ◽  
Fixed Effect Model ◽  
Cigarette Consumption ◽  
Input Output ◽  
Output Analysis ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study analyzes the effect of excise of cigarette price changes to the consumption of cigarette and Central Java’s economy and household income. In the first stage, with employing panel data regression model,i.e. fixed effect model (FEM) which include 35 regencies/cities in Central Java Province during 2009-2013, the study examines the effect of cigarette excise to cigarette consumption. On the next stage, the study simulatesthe impact of cigarette consumption shock to the Central Java’s sectoral economy and household income using the Central Java 2013 Input-Output table. The findings indicate that the cigarette excise has a tradeoff effect tohousehold’s cigarette consumption. The increase of cigarette excise reduces cigarette consumption, and next, reduces output and sectoral household income. The cigarettes industries suffered the highest impact of thedecrease of the cigarette consumption, followed by other sectors which is has a high link to cigarette industries such as agricultures and tobacco sectors.Keywords: cigarette, excise, panel data regression, input-output analysis

scholarly journals PENGARUH DANA DESA DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP TINGKAT KEMISKINAN DI PROVINSI ACEH

2022 ◽  
Vol 6 (1) ◽  
Author(s):  
Muliza Muliza
Keyword(s):  
Fixed Effect Model ◽  
Model Parameters ◽  
Infrastructure Development ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province ◽  
Estimation Of Model Parameters ◽  
Regional Product ◽  
The Village

This study aims to see the effect of Village Fund and Gross Domestic Regional Product on poverty in districts / cities in Aceh Province during the 2017-2019 period. To analyze the data, the method used is panel data regression analysis with the estimation of model parameters using a fixed effect model (FEM). The results showed that the village funds variable did not have a significant effect on poverty, this happened because most of the village funds were allocated more to the infrastructure development sector, causing village funds to still not have a direct effect on reducing poverty. The Gross Domestic Regional Product variable has a negative but significant effect on poverty in the District / City of Aceh Province, which means that with an increase in Gross Domestic Regional Product it will significantly affect the reduction of poverty levels in Aceh Province.

Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model

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