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 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 Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

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 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 Income Inequality in Indonesia: Panel Data of 34 Provinces 2014-2016

2018 ◽  
Vol 73 ◽  
pp. 10003
Author(s):  
Rofiuddin Mohammad ◽  
Firmansyah
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Minimum Wage ◽  
Global Level ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
The Difference ◽  
High Level

Income inequality is the difference in the ability of people to have goods or services, and more broadly, it is the problem of community welfare. Income inequality can be measured at regional, national and global level. Income inequality in Indonesia,, which representing by Gini index, is still relatively high, even though the number tends to decline. The high level of income inequality is influenced by various factors. This study aims to analyze the influence of economic growth, population and provincial minimum wage toward income inequality in Indonesia. By applying a fixed-effect of panel data regression model of the 34 provinces along 2014-2016, the study finds that economic growth and population do not affect the income inequality, while provincial minimum wage has the negative effect.

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 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 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 Faktor–Faktor yang Mempengaruhi Inflasi Provinsi di Sumatera

2020 ◽  
Vol 5 (2) ◽  
pp. 309
Author(s):  
Siswoyo Siswoyo ◽  
Asrini Asrini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study is to know and analyze inflationary developments, road infrastructure, government spending, provincial minimum wage and economic growth provincial in Sumatra. know and analyze the influence of road infrastructure, government spening, provincial minimum wage and economic growth provincial in Sumatra. This research uses descriptive analysis method to know the development of each research variables and quantitative methods by using panel data regression approach random effect. Based on the results of descriptive analysis of inflationary development fluctuate, road infrastructure stagnated and government spending,provincial minimum wage and economic growth incresed every year. While the result of regression of panel data with random effect approach variable of provincial minimum wage have positive and significant influence to inflation of provincial in sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra.

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.

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