scholarly journals Effect of Inflation and Economic Growth on The Rate of Unemployment

2021 ◽  
Vol 7 (4) ◽  
pp. 609-617
Author(s):  
Azaluddin Azaluddin ◽  
Lia Hanifa
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Quantitative Research ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Research Data ◽  
Effect Model

This study aims to determine the effect of inflation and economic growth on the unemployment rate in Indonesia. This research is a quantitative research. Data analysis in this study used multiple linear regression with a random effect model, which was processed using the EViews 10 application. The population in this study was all provinces in Indonesia in 2016-2018. The sample in this study was 34 provinces in Indonesia. The data used in this study is secondary data obtained from the Central Statistics Agency. The results of this study indicate that inflation and economic growth have a negative and insignificant effect on the unemployment rate in Indonesia. Based on the F test and t test, inflation and economic growth variables have no significant effect on the unemployment rate in Indonesia, either partially or simultaneously.

scholarly journals Pengaruh Pendidikan, Pengangguran, dan Kemiskinan terhadap Ketimpangan Pendapatan di Indonesia

2019 ◽  
Vol 8 (3) ◽  
pp. 250
Author(s):  
Hindun Hindun ◽  
Ady Soejoto ◽  
Hariyati Hariyati
Keyword(s):  
Data Analysis ◽  
Income Inequality ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Ministry Of Education ◽  
Effect Model ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression

This research aims to analyze the effect of education, unemployment, and poverty on income inequality in Indonesia, both partially and simultaneously. This research uses secondary data with a quantitative approach. The type of research used is the type of associative research. The variables in this study are education, unemployment, poverty, and income inequality — data source from BPS and the Ministry of Education and Culture. The data analysis technique used is panel data regression analysis with cross-section 34 provinces and time series for 2015-2018. The results of the research obtained the random effect model, the best models. The results of data analysis show that education and poverty had a partial effect on income inequality in Indonesia, while unemployment had not to affect income inequality. Simultaneously, education, unemployment, and poverty affect income inequality in Indonesia. However, education, unemployment, and poverty can only explain 22.37% of the effect on income inequality in Indonesia. The rest is influenced by factors outside the model.

scholarly journals Corruption and Economic Growth at Province Levels in Indonesia

JEJAK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 288-295
Author(s):  
Nairobi Nairobi
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Initial Growth ◽  
Ceteris Paribus ◽  
Transparency International ◽  
Economic Growth Model ◽  
Effect Model ◽  
Research Period

This study aims to determine the effect of corruption on economic growth at the provincial level in Indonesia. This study uses a model based on the economic growth model of Levine and Renelt (1992). This study uses secondary data obtained from the Central Statistics Agency (BPS), the Investment Coordinating Board (BKPM), and Transparency International Indonesia with the research period of 2014-2018. This study uses a panel data model with a cross-section of 16 (sixteen) provinces in Indonesia. This study uses a model with a Random Effect Model (REM) approach. The results showed that the corruption perception index, foreign direct investment (FDI), initial growth (EGt-1), government spending (GE) and labor (L) each had a positive and significant effect on economic growth (EG) in 16 provinces in Indonesia for the 2014-2018 period, ceteris paribus.

scholarly journals Financial inclusion and it’s effect on poverty in Indonesia

2021 ◽  
Vol 16 (1) ◽  
pp. 97-108
Author(s):  
Thomas Andrian ◽  
Nurbetty Herlina Sitorus ◽  
Irma Febriana MK ◽  
Stefanus Willy Chandra
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Poverty Rate ◽  
Financial Inclusion ◽  
Analysis Method ◽  
Macroeconomic Variables ◽  
Effect Model ◽  
The Impact

This study aims to analyze and determine the impact of Financial Inclusion in Indonesia and other macroeconomic variables on poverty rate in Indonesia. This study uses secondary data. Analysis method with the Random Effect Model (REM) approach. The results of this study indicate that the variable Bank Service Offices per 1,000 km2 , Ratio of DPK, Ratio CRD have a negative and significant effect on poverty rate in 33 provinces in Indonesia in 2014-2018, and Unemployment Rate (UMP) has a positive and significant effect on poverty rate in 33 provinces in Indonesia in the 2014-2018 period. However, the variable Economic Growth and Inflation (INF) did not have a significant effect on poverty in 33 provinces in Indonesia in the 2014-2018 period. Measuring this dimension is still difficult to do and currently several international institutions were concerned about the development of financial inclusion. Keywords: Financial inclusion, Poverty rate, Economic growth

scholarly journals Pengaruh Inflasi Dan Pertumbuhan Ekonomi Terhadap Tingkat Pengangguran Di Indonesia Periode 2001-2017

2020 ◽  
Vol 9 (1) ◽  
pp. 26-34
Author(s):  
Rts. Ivo Tri Aulia ◽  
Siti Hodijah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Development Models ◽  
Development Policies ◽  
The Creation

The creation of jobs as a real impact of development policies that have been implemented in determining the success of economic development that occured in a country. The purpose of this study is to determine the effect of inflation and economic growth on the unemployment rate in Indonesia. The type of data used in this study is secondary data in the form 2001-2017 in Indonesia, with a method of multiple linear regression data analysis and analysis of development models. The results of the study with a significant level of 10% indicate that Simultaneously the variables of inflation and economic growth have a significant effect on the variable unemployment rate in Indonesia. In fact, economic growth variables have no significant effect on the unemployment rate while the inflation variable has a significant effect on the unemployment rate. R-square 0.280170, this means that the unemployment rate in the period 2001-2017 in Indonesia is influenced by inflation and economic growth while the rest is explained by other factors not discussed in this model. The results of the analysis in development show that the inflation and economic growth variables experience fluctuating developments.

scholarly journals The Impact of Economic Growth and Unemployment Rate on Poverty in Sulawesi

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Roflan R Badu ◽  
Syarwani Canon ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Unemployment Rate ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Effect Model ◽  
The Impact

This research aims to analyze several fators that may impact the provincial poverty rate in Sulawesi. Several factors considered in this research is the economic growth (growth of Gross Regional Domestic Product) and Unemployment Rate. This research uses secondary data from Central Statistics Bureau (Badan Pusat Statistik, BPS). This research uses panel data analysis on six provinces in Sulawesi during 2010-2017. This research uses Fixed Effect Model (FEM). Based on the results, it is found that economic growth and unemployment rate has significant and positive impact on poverty rate in Sulawesi. Keywords: Economic Growth; Unemployment Rate; Poverty.

scholarly journals Effect of Special Allocation Funds (DAK), Capital Expenditures, and Investment on Economic Growth in the Sulawesi Region

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fera Nur Ariyani Ibrahim ◽  
Irawati Abdul
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Capital Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Capital Expenditures ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze the effect of Special Allocation Funds, Capital Expenditures and Investment on Economic growth in the Sulawesi region. The data used are secondary data obtained from Simreg Bappenas and the Central Statistics Agency during 2007-2016. The unit of analysis is 6 provinces in the Sulawesi region. This study uses a panel data regression model with the Random Effect Model (REM) method. The results of this study indicate that, (i) the Special Allocation Fund has a negative and significant effect on economic growth in the Sulawesi region. (ii) Capital expenditure shows a positive and significant influence on economic growth in the Sulawesi region. (iii) Investment shows a positive and significant influence on economic growth in the Sulawesi region.Keywords: Special Allocation Funds, Capital Expenditures, Investment, Economic Growth, Random Effect Model (REM).

scholarly journals KETIMPANGAN PEMBANGUNAN EKONOMI REGIONAL KALIMANTAN

2020 ◽  
Vol 3 (1) ◽  
pp. 22-25
Author(s):  
Mutia Madina ◽  
Muzdalifah M
Keyword(s):  
Economic Development ◽  
Panel Data ◽  
Quantitative Research ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Research Approach ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Abstrack- This research was conducted to (1) Know the economic development in  Kalimantan region from 2011 to 2018; (2) Analyze the effect of regional share, proportional shift, and competitive shift on inequality in economic development. The data analysis technique used are: the first, Klassen typology analysis as a descriptive approach, and the second, the panel data regression analysis with random effect model estimation as a quantitative research approach. This research uses secondary data. Klassen's typological analysis showed the results that not all the provinces have positive growth every year. The analysis of panel data regression showed the results that the regional share and the competitive shift do not affect the development disparities which occurred in Kalimantan. Meanwhile, the proportional shifts affect the imbalance of development which occurred in Kalimantan region. Keywords: Economic Development Inequality, Klassen Typology, Regional Share, Proportional Shift, Competitive Shift. Abstrak- Penelitian ini dilakukan untuk (1) Mengetahui perkembangan perekonomian region kalimantan mulai tahun 2011 sampai 2018; (2) Menganalisis pengaruh regional share, proportional shift, dan competitive shift terhadap ketimpangan pembangunan ekonomi.Teknik analisa data yang digunakan yaitu pertama analisis tipologi klassen sebagai pendekatan deskriptif dan yang kedua yaitu analisis regresi data panel dengan estimasi random effect model sebagai pendekatan penelitian kuantitatif. Penelitian ini menggunakan data sekunder.Analisis tipologi klassen menunjukkan hasil bahwa tidak semua provinsi memiliki pertumbuhan positif setiap tahunnya. Analisis regresi data panel menunjukkan hasil bahwa regional share dan competitive shift tidak mempengaruhi ketimpangan pembangunan yang terjadi di regional Kalimantan. Sedangkan proportional shift mempengaruhi ketimpangan pembangunan yang terjadi di regional Kalimantan. Kata kunci : Ketimpangan Pembangunan Ekonomi, Tipologi Klassen, Regional Share, Proportional Shift, Competitive Shift.

scholarly journals PENGARUH TINGKAT PENDIDIKAN, PERTUMBUHAN EKONOMI DAN INVESTASI TERHADAP TINGKAT PENGANGGURAN ANTAR KABUPATEN/KOTA DI PROVINSI SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 351
Author(s):  
Monica Wulandari ◽  
Marwan Marwan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Unemployment Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Research Use ◽  
Level Of Education ◽  
Research Results ◽  
Effect Model ◽  
Year 2013

The purpose of this study for know does the level of education , economic growth and investment have a significant effect the unemployment rate between district/city in West Sumaera. This research use the panel data  views of the 12 districts and 7 cities in West Sumatera Province start the year 2013 to 2017 gathered from Statistics Indonesia West Sumatera. This study used a Random-effect Model (REM). The research results obtained are (1) Together the level of education, economic growth and investment significant effect against the unemployment rate between districts/city in West Sumatera. (2) the level of educatio is  positive and has no significant effect against the unemployment rate between districts/city in West Sumatera. (3) economic growth is negative and has a significant effect  the unemployment rate between districts/city in West Sumatera. (4) Investment is negative and has significant effect  the unemployment rate between districts/city in West Sumatera.Keywords : education, economic growth, investment, unemployment

scholarly journals The Impact of Economic Growth and Unemployment Rate on Poverty in Sulawesi

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Roflan R Badu ◽  
Syarwani Canon ◽  
Fitri Hadi Yulia Akib
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Unemployment Rate ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Poverty Rate ◽  
Effect Model ◽  
The Impact

This research aims to analyze several fators that may impact the provincial poverty rate in Sulawesi. Several factors considered in this research is the economic growth (growth of Gross Regional Domestic Product) and Unemployment Rate. This research uses secondary data from Central Statistics Bureau (Badan Pusat Statistik, BPS). This research uses panel data analysis on six provinces in Sulawesi during 2010-2017. This research uses Fixed Effect Model (FEM). Based on the results, it is found that economic growth and unemployment rate has significant and positive impact on poverty rate in Sulawesi. Keywords: Economic Growth; Unemployment Rate; Poverty.

scholarly journals Tax Reforms and Economic Growth with Reference to SAARC Countries: A Study Note

2019 ◽  
Vol 3 (1) ◽  
pp. 91-106 ◽  
Author(s):  
Bishnu Pokharel
Keyword(s):  
Economic Growth ◽  
Random Effect ◽  
Random Effect Model ◽  
Research Work ◽  
Negative Relationship ◽  
Secondary Data ◽  
Tax Reforms ◽  
Effect Model ◽  
The Government ◽  
Capita Income Growth

This research work is an empirical analysis of Taxation and economic growths ARC five countries, covering the period 1990-2012. Taxation was disaggregated into: goods and service tax, Personal Income Tax, the other tax, the revenue tax, the Government savings, FDI, Export and Import and they were used independent variables while the GDP per capita income growth was used as dependent variables for measuring economic growth in SAARC. In order to establish interconnection between taxation and economic growth, secondary data were collected from the World Fact Book, SAARC Statistical Bulletin and IMF statistical data. The data collected were analyzed using the Panel Data Regression Analysis and the fixed effect and random effect model regression were used while hypotheses were tested using T-Statistics and Housman Test. The results of the analysis reveal that a significant Negative relationship exists between Taxation and economic growth in SAARC.

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