scholarly journals Estimasi Produksi Sumber Daya Alam (Produk Tambang) dan Tingkat Kelulusan Sekolah Serta Jumlah Tenaga Kerja Terhadap Pertumbuhan Ekonomi di Indonesia (Studi Kasus Propinsi)

2019 ◽  
Vol 5 (1) ◽  
pp. 147-152
Author(s):  
Frances Roi Seston Tampubolon
Keyword(s):  
Economic Growth ◽  
Graduation Rate ◽  
Positive Relationship ◽  
Statistical Tests ◽  
Least Square Method ◽  
Least Square ◽  
Positive Contribution ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
School Graduation

This research is about estimating the influence of naturalresources and school graduation rates and the number ofworkers on economic growth in Indonesia. The model usedis multiple linear regression with one dependent variable andfour independent variables. The method used is the OLS(Ordinary Least Square) method, where the estimatedparameters of the models are verified by statistical tests. Thevariables used in this study include the length of time forschool graduation, the number of labor (labor), miningproducts, and PMTDB (formation of gross domestic fixedcapital). The results of data processing show that naturalresources (mining products) have a positive contribution toIndonesia's economic growth. From the last analysis that theschool graduation rate also has a positive relationship toeconomic growth.

scholarly journals Pengaruh umur, pendidikan, upah, keterampilan, dan jenis kelamin terhadap lama mencari kerja bagi pekerja terdidik di Kota Jambi (studi kasus Kecamatan Kota Baru dan Telanaipura)

2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli
Keyword(s):  
Sampling Method ◽  
Least Square Method ◽  
Total Sample ◽  
Least Square ◽  
Primary Data ◽  
Wage Level ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
And Gender ◽  
Multistage Sampling

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.

scholarly journals Determinants of Household Debt in Malaysia from the year 2010 to 2017

2019 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Zahariah Mohd Zain ◽  
Nurul Ainun Ahmad Atory Ahmad Atory ◽  
Sarah Amirah Hanafi
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Housing Price ◽  
Least Square ◽  
Household Debt ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Lending Rate

Household debt has become an issue in the Malaysian economy as it affects the country socially and economically.This study aims to examine the determinants of household debt from the year 2010 until 2017. This study employs the Ordinary Least Square (OLS) method and the macroeconomic variables used in this study are Gross Domestic Product (GDP), base lending rate, unemployment and housing price as independent variables. The results indicate that the trend of household debt in Malaysia has shown a continuous rise from the year 2010 to 2017. GDP, base lending rate and housing price indicate a positive relationship towards household debt while unemployment shows a negative relationship to household debt in Malaysia. All explanatory variables have shown a significant relationship except for GDP. Housing price has been found to be the most significant factor and positively related to household debt. The findings indicate that the higher the price of houses, the higher the household debt will be.

scholarly journals Primary education and its impact on literacy rate: A division wise comparative study of Bangladesh

2021 ◽  
Vol 10 (4) ◽  
pp. 391-405
Author(s):  
Sujan Chandra Paul ◽  
Md Arif Hosen ◽  
Jyotirmay Biswas ◽  
Shahadat Hossain
Keyword(s):  
Primary Schools ◽  
Positive Relationship ◽  
Least Square ◽  
Educational Institutions ◽  
Rate Data ◽  
Literacy Rate ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Different Types ◽  
The Impact

This study investigates the impact of a number of educational institutions and students per teacher on the literacy rate. Data of 489 Upazilasrelating to the dependent (literacy rate) and independent variables (no. of educational institutions and students per teacher of different types of primary and equivalent educational institutions) of 8 Divisions were collected from District Statistics 2011 of Bangladesh Bureau of Statistics. The Ordinary Least Square (OLS) method is used in this study. This research found that a number of government primary schools had a significant positive relationship with the literacy rate in Barishal, Chittagong, Khulna, and Mymensingh Divisions.

scholarly journals ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA

2012 ◽  
Vol 6 (1) ◽  
pp. 31-40
Author(s):  
Gresyea L. Marcus ◽  
Henry J. Wattimanela ◽  
Yopi A. Lesnussa
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Least Square Method ◽  
Component Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Technique ◽  
Independent Variable ◽  
Very High

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

scholarly journals Covid-19, Remittance Inflow, and Economic Growth Rate in Nepal

2020 ◽  
pp. 69-80
Author(s):  
Arbind Chaudhary
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Least Square Method ◽  
Least Square ◽  
Economic Growth Rate ◽  
Ordinary Least Square ◽  
Domestic Literature ◽  
Gdp Growth Rate ◽  
Economic Ground

The proliferation of COVID-19 pandemic over the globe is anomalously hurting the world’s economy. The paper aims to reveal the possible loss in economic growth rate for FY 2020 due to plausible retardation in remittance/GDP size of Nepal under COVID- 19 regime by utilizing transmission approach, trend forecast, and ordinary least square method form 2000 to 2019. The study harvests two premises: first, remittance/GDP has a positive estimate to the economic growth rate and second, if the pandemic proliferates more, and if it downsizes the remittance/ GDP size by 25% to 75%, it reduces the projected GDP growth rate (6.95) up to 6.68 to 5.3% respectively for FY 2020. However, domestic literature also supports the strong role of remittance on the micro-level. Therefore, the microeconomic impact of the virus may be more appalling than the macro-economic ground.

scholarly journals Effect of Water Quality, Environmental Quality on Economic Growth in South Sumatra Province 2013-2017

2021 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Dimas Resy Ramadhan ◽  
Siti Novia Sari ◽  
Syamsurijal A Kadir ◽  
Abdul Bashir
Keyword(s):  
Economic Growth ◽  
Water Quality ◽  
Air Quality ◽  
Environmental Problem ◽  
Statistical Tests ◽  
Least Square ◽  
Environmental Damage ◽  
Ordinary Least Square ◽  
Natural Factors ◽  
Common Problems

<p align="justify">Environmental problems are currently the most common problems in the Indonesian environment. This environmental problem can be caused by the characteristics of humans as economic beings from several things, ranging from natural factors or factors from humans themselves. Most of these problems sometimes do not have a solution to solve them. So that it causes natural and environmental damage to continue. This study aims to determinethe influence of development on water quality, air quality on economic growth in South Sumatra Province.Secondary data used is time series sourced from the Central Bureau of Statistics, IKPLHD and related agencies during the period 2013 to 2017. The analytical tool used in this study is multiple linear regression based on Ordinary Least Square (OLS) along with statistical tests and tests. Classic Assumptions. The estimation results conducted show that the variables of air quality and water quality have a significant influence and have a positive relationship to per capita economic growth in South Sumatra.</p>

scholarly journals Pengaruh kurs, net ekspor, dan penanaman modal asing terhadap pertumbuhan ekonomi Indonesia

2019 ◽  
Vol 7 (1) ◽  
pp. 39-50
Author(s):  
Tuty Cahya Azizah ◽  
Haryadi Haryadi ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Foreign Investment ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Net Exports ◽  
The Exchange Rate

The purpose of this study is to analyze the development of exchange rates, net exports, FDI, and Indonesia's economic growth in 1998-2017 and to analyze the effect of exchange rates, net exports, and foreign investment (FDI) on Indonesia's economic growth in 1998-2017. used in this study is secondary data sourced from the Central Statistics Agency (BPS). The analytical tool used in this study is descriptive and quantitative analysis, namely by multiple linear regression. The research method used in this study is the "Ordinary Least Square (Ordinary Least Square) method. OLS). The test results using OLS show that together the variables of the exchange rate, net exports, and FDI have a significant effect on Indonesia's economic growth. While partially, the exchange rate has a positive and significant effect on Indonesia's economic growth. Meanwhile, net exports have a positive and significant impact on Indonesia's economic growth. Meanwhile, FDI has a positive and significant impact on Indonesia's economic growth. Keywords: Exchange rate, Net exports, Foreign investment, Economic growth.  

scholarly journals Impact of Capital Market on Economic Growth in Nigeria

2020 ◽  
Vol 9 (2) ◽  
pp. 49
Author(s):  
Ubesie M. C. ◽  
Nwanekpe C. E. ◽  
Ejilibe C.
Keyword(s):  
Economic Growth ◽  
Capital Market ◽  
Labour Force ◽  
Least Square Method ◽  
Least Square ◽  
Standard Of Living ◽  
Ordinary Least Square ◽  
Result Show ◽  
The Government ◽  
The Impact

This study on “Impact of Capital Market on Economic Growth in Nigeria” is aimed to access the impact and determinant of capital market on the economic growth in Nigeria within the period of study. It further employed the ordinary least square method (OLS) in analyzing the time series variables obtained for the study. The result of the findings show that all the variables of interest were significant in explaining the behavior of capital market on the growth of Nigeria Economy except Labour force. more so, the result show that the the model employed for the analysis is adequate and best in fitting the variables obtained. Further more, necessary recommendations were made to enable the government come up with a favorable policies in which will make for improvement in the standard of living.

scholarly journals Peran Perbankan Syariah terhadap Pertumbuhan Ekonomi Indonesia

2014 ◽  
Vol 4 (1) ◽  
pp. 41-66
Author(s):  
Safaah Restuning Hayati
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Rapid Development ◽  
Least Square Method ◽  
Least Square ◽  
Islamic Banking ◽  
Ordinary Least Square ◽  
Technological Advances ◽  
Significant Process

The paper analyzes the role of Islamic banking for economic growth in Indonesia. The rapid development of Islamic banking in the country followed the economic growth was the research basis of the paper. The analysis in this paper uses Ordinary Least Square method to determine how much Islamic banking influenced the growth represented by Gross Domestic Product (GDP). The result of regression model testing found that the total assets of Islamic banking had no significant effect (negative) on GDP, while the Islamic banking financing process had significant process had significant effect (positive) on GDP. Variable total assets and total financing of Islamic banking are able to explain the effect 33.8% of GDP variable. This means that Islamic banking has a very small role related to economic growth in Indonesia. The research indicates that the solution for increasing for the influence of Islamic banking could include increasing market share and increasing the share of muḍârabah financing schemes, strengthening regulation, improving the quality and quantity of human resources, and adapting technological advances.  

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN DI PROVINSI SUMATERA UTARA TAHUN 1978-2014 DENGAN METODE ORDINARY LEAST SQUARE

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
N D Isnayanti ◽  
Arnah . Ritonga
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Minimum Wage ◽  
Econometric Model ◽  
Negative Impact ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Significant Negative Impact ◽  
North Sumatra

AbstractThe purpose of this study was to analyze the factors affecting the level of unemployment in the province of North Sumatra in 1978-2014. With independent variable population of the workforce, inflation, economic growth, minimum wage and the level of upper secondary education graduates in the province of North Sumatra, while the dependent variable is unemployment. The data used are secondary data from the Central Statistics Agency (BPS) of North Sumatra province with time series from 1978 to 2014 year. Research steps to be performed are: Determine the theory or hypothesis; Creating mathematical models and econometric model of hypotheses; Collecting data; Parameter estimation of an econometric model; Test hypotheses; and make conclusions. The analytical method used was Ordinary Least Square method or the method of least squares. Data analysis technique used is multiple linear regression using Eviews program 7. The results showed that the variables of the labor force has positive effect amounting to 3 059 904% and not significant, positive bepengaruh inflation at 0, 020 060% and not significant, negative impact of economic growth 3 105 293% and a significant, negative impact of minimum wage amounted to 1, 003 877% and a significant and positive influence education levels of 0, 282 733% and significant impact on the unemployment rate in the province of north Sumatra in 1978-2014. The most dominant factor affecting the level of unemployment in the province of North Sumatra in 1978 2014 in this study is a factor of economic growth.Keywords : Labor Force, Inflation, Ordinary Least Square method, Unemployment, Economic Growth, Education Level, Minimum Wage

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