scholarly journals Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi PDRB di Provinsi DIY Tahun 2011-2015

2019 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Dea Aulia Nandita ◽  
Lalu Bayu Alamsyah ◽  
Enggar Prima Jati ◽  
Edy Widodo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Data Series ◽  
Population Number ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

<p>Population growth can encourage and hinder economic growth. This study aims to analyze the factors that influence gross domestic product (GDP) in Daerah Istimewa Yogyakarta (DIY) using panel data regression. This study uses three independent variables, namely number of population, number of poor population, and investment, while the dependent variable is GDP. We use secondary data obtained from Badan Pusat Statistik (BPS). The results obtained from the regression analysis of the data series time panel are generalized least square (GLS), while for the cross section data panel shows the REM model is more suitable than PLS and FEM. Based on the validity test of the influence or t-test, the variable that shows significant to the economic rate which is categorized as GRDP in the Daerah Istimewa Yogyakarta in 2011-2015 is the variable Total population and Investment which has a positive relationship.</p><p><strong>Keywords</strong><strong> : </strong>economic growth rate, panel data regression, gross regional domestic product</p>

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

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 THE IMPLICATION OF BRAIN GAIN ON BRAIN DRAIN PHENOMENON IN OVERCOMING THE PROBLEM OF EDUCATED UNEMPLOYMENT IN INDONESIA

2021 ◽  
Vol 23 (1) ◽  
pp. 133
Author(s):  
Duwi Yunitasari ◽  
Khusnul Khotimah ◽  
Moehammad Fathorrazi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Brain Drain ◽  
Secondary Data ◽  
University Graduates ◽  
National Agency ◽  
Brain Gain ◽  
Panel Data Regression ◽  
Data Regression

The high number of educated unemployment of university graduates is a significant problem in Indonesia. This study aims to find out the effect of brain drain, economic growth, and provincial minimum wage on educated unemployment of university graduates in Indonesia. In this study, we were implementing brain gain on brain drain in Indonesia. This study uses panel data regression that describes the relationship between independent variable and dependent variables. There are two models from the panel data regression method: the Chow test and Hausman Test. The regression model used is fixed-effect model. The data is secondary data collected from Statistical Central Agency (BPS) and National Agency for Placement and Protection of Indonesia Labour (BNP2TKI) in 2014-2018. The results show that brain drain and economic growth influence the educated unemployment of university graduates but the provincial minimum wage does not have a significant relationship with the educated unemployment of University graduates in Indonesia.

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 PERAN PEBANKAN SYARIAH TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Ilhamdi Ilhamdi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Positive Impact ◽  
Secondary Data ◽  
Islamic Banking ◽  
Panel Data Regression ◽  
Data Regression ◽  
Conventional Banks

This study aims to determine the role of Islamic banking on economic growth in Indonesia and to compared it with conventional banks. In recent years, Islamic banking has increased in terms of assets. By using panel data regression, this study examines the effect of Islamic banking on economic growth. Besides that, how big is the level of elasticity to economic growth. This study uses secondary data in the form of Gross Domestic Product (GDP), Islamic banking financing and credit by conventional banks. The results showed that Islamic banking and conventional banks had a positive impact on economic growth with the level of elasticity of Islamic banking still below conventional banks. So the existence of Islamic and conventional banks does not always replace, but complement each other in Indonesia.

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 ANALYSIS OF THE EFFECT OF EDUCATION FUNDS, HEALTH FUNDS, AND LABOR FUNDS ON REGIONAL INCOME IN SOUTH TANGERANG CITY PERIOD 2013 – 2018

2020 ◽  
Vol 6 (3) ◽  
pp. 195
Author(s):  
FIRDAUS BUDHY SAPUTRO
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Multiple Regression ◽  
Secondary Data ◽  
Domestic Product ◽  
Regional Income ◽  
Panel Data Regression ◽  
Data Regression ◽  
Multiple Regression Models ◽  
Research Period

<p>This study aims to analyze the effect of education funds, health funds, and labor funds on regional income partially and simultaneously. The analysis uses panel data with multiple regression models or multiple regression. The data used in this study are secondary data obtained in ready-made form from www.djpk.depkeu.go.id and www.bps.go.id. The data obtained are data in annual form for each variable. The research period is data from 2013 to 2018. The results of this study indicate that the health fund variable has a partial effect on gross domestic product. While the variable education funding and employment absorption does not have a partial effect on gross domestic product. The results of simultaneous panel data regression, the results of the F test show that the three independent variables namely education funds, health funds and absorption of labor funds simultaneously influence the gross regional domestic product (GRDP).</p>

scholarly journals The Effect of Local Taxes and Retribution on Economic Growth in Indonesia

2020 ◽  
Vol 18 (1) ◽  
pp. 14-23
Author(s):  
Bayu Rhamadani Wicaksono
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Random Effects ◽  
Secondary Data ◽  
Random Effects Model ◽  
Good Strategy ◽  
Local Taxes ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

The purpose of the study is to analyze the effect of local taxes and retributions on the economic growth in Indonesia. The data used are secondary data from provinces in Indonesia 2014-2017 using panel data regression with Random Effects Model (REM). The results are as follows, first, the local taxes has a negative and significant impact on the economic growth in Indonesia. Second, the retributions have a positive and significant effect on the economic growth in Indonesia. The government should evaluate and plan a good strategy for the next period so that the potential revenues of local taxes and retributions can increase economic growth gradually.

scholarly journals The Effect of Capital Structure on Firms’ Profitability (Evidenced from Ethiopian)

2016 ◽  
Author(s):  
Tariku Negasa
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Random Effect ◽  
Secondary Data ◽  
Manufacturing Firms ◽  
Least Square ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship

This study was aimed to investigate the effect of capital structure on firms&rsquo; profitability with special emphasis on Ethiopian Large Private Manufacturing Firms using panel data of five consecutive years (2006/07-2010/11G.C). The secondary data sources (audited financial statements) have been collected from the randomly selected thirty three large private manufacturing firms in Ethiopia. Linear regression model has been employed to analyze the relationship between firms&rsquo; profitability and capital structure. Specifically, Random-effect Generalized Least Square of panel data regression model has been selected to empirically test the literature driven hypotheses. Finally, the findings of this study revealed that a significant positive relationship between firms&rsquo; profitability and total debt ratio which indicate firm&rsquo;s capital structure.

scholarly journals Analisis penerimaan pajak bumi dan bangunan-P2 serta pengaruhnya terhadap pendapatan daerah Kabupaten/Kota di Provinsi Jambi

2020 ◽  
Vol 15 (2) ◽  
pp. 183-196
Author(s):  
Budi Setiawan ◽  
M. Rachmad R ◽  
Arman Delis
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Secondary Data ◽  
Simple Linear Regression ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This study aims to analyze the determinants of PBB-P2 revenue, to determine the effect of PBB-P2 revenue on regional revenue and to formulate strategies for increasing PBB-P2 revenue in Jambi Province. The data used in this study is secondary data with the type of Time series 2014-2018 data and Cross Section 11 districts/cities that come from the Central Statistics Agency and Regency / City BPPRD. This study uses Panel Data Regression Analysis and uses Simple Linear Regression using the E-Views 8.0 tool. The results of this study indicate that PBB-P2 always increases every year. From the results of panel data regression analysis, the results show that investment, economic growth, and taxpayers together have a significant effect on PBB-P2 with an R square value of 0.924, the Prob value (F- statistic) 0,000 and the F-statistic value is 26,556. The effect of investment on PBB-P2 has a positive effect, which means that if investment increases, PBB-P2 will also experience an increase. Economic growth and taxpayers will have a negative effect on PBB-P2 which means that the increase in PBB-P2 will decrease the economic growth and taxpayers.

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