scholarly journals ANALISIS KAUSALITAS ANTARA KETIMPANGAN PENDIDIKAN, KETIMPANGAN PENDAPATAN, DAN KEMISKINAN DI INDONESIA

2020 ◽  
Vol 2 (1) ◽  
pp. 65
Author(s):  
Nur Azmi Randa ◽  
Sri Ulfa Sentosa
Keyword(s):  
Income Inequality ◽  
Causal Relationship ◽  
Educational Inequality ◽  
Descriptive Analysis ◽  
Unit Root Test ◽  
Secondary Data ◽  
Stability Test ◽  
Variable Response ◽  
Causality Test ◽  
Inductive Analysis

This study aims to find out the causal relationship between educational inequality, income inequality, and poverty in Indonesia. The data used are secondary data in the form of panel data from 2011 to 2018. Data analysis used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test (Stability Test), (6) Variable Response Test (Impulse Response Finction), (7) Variance Decomposition Test. The results of this study indicate that: (1) There is a causal relationship between educational inequality and income inequality. (2) There is no causal relationship between inequality in education and poverty. (3) there is no causal relationship between income inequality and poverty. But there is a one-way relationship between income inequality and poverty.

ANALISIS KAUSALITAS STUNTING, PERTUMBUHAN EKONOMI DAN KEMISKINAN DI INDONESIA

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Dedek Aulia Damayanti ◽  
Sri Ulfa Sentosa
Keyword(s):  
Economic Growth ◽  
Significant Relationship ◽  
Descriptive Analysis ◽  
Unit Root Test ◽  
Secondary Data ◽  
Granger Causality Test ◽  
Variance Decomposition ◽  
Causality Test ◽  
Causality Relationship ◽  
Inductive Analysis

This study intends to look at the causality relationship between stunting, economic growth, and poverty in Indonesia. the type of data used is secondary data in the form of panel data from 2011 to 2018. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely (1) Root Root Test (Unit Root Test), (2) Cointegration Test, (3) Optimum Lag Test, (4) Granger Causality Test, (5) Stability Test, (6) Impulse Response Finction Test, (7) Variance Decomposition Test. The results of this study show that: (1) There is a significant relationship exists between stunting and economic growth. (2) There is no significant relationship between economic growth and poverty. (3) there is a significant relationship between poverty and stunting in Indonesia.

scholarly journals ANALISIS KAUSALITAS ANTARA KEMISKINAN, KETIMPANGAN PENDAPATAN DAN TINGKAT PENDIDIKAN DI PROVINSI SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 604
Author(s):  
Damrul Ahmad ◽  
Mike Triani
Keyword(s):  
Income Inequality ◽  
Descriptive Analysis ◽  
Education Level ◽  
Literature Study ◽  
Economic Sectors ◽  
Causality Test ◽  
Level Of Education ◽  
West Sumatra ◽  
The Government ◽  
Inductive Analysis

This study aims to determine and analyze the causal relationship between poverty, income inequality and education level in West Sumatra. This type of research is descriptive and associative research, where the data used is secondary data in the form of panel data from 2010 to 2017 with documentation data collection and literature study techniques obtained from related institutions and institutions. Data analysis used is the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: (1) Unit Root Test (2)Cointegration Test (3) Optimal Lag Determination (4) Granger Causality Test (5) PVAR Test.  The results of this study indicate that (1) income inequality Poverty and income inequality have a causality relationship where the probability of poverty to income inequality = 0.0307 and the probability of income inequality against poverty = 0.0166 (2) There is a one-way relationship between poverty and education level where poverty affects the level of education with a probability = 0.0024 while the level of education does not affect poverty with probability = 0.2402 (3) income inequality and education level do not have a one-way or two-way relationship where income inequality does not affect the level of education with probability = 0, 2445 and the level of education also does not affect income inequality with a probability = 0.5248 in the study period. Based on the results of this study, the authors suggest that the government combine policies on income equity and poverty such as the application of progressive taxes and subsidies to basic needs, equitable distribution of education in districts / cities in regencies / cities in West Sumatra. in addition, it is also expected that an increase in the nine economic sectors so that all three issues such as poverty, income inequality and education levels can be overcome.                                                             Keyword: Poverty, Income Inequality, Education Level, PVAR

scholarly journals PENGARUH FLUKTUASI HARGA MINYAK DUNIA, BELANJA MODAL, DAN PERTUMBUHAN EKONOMI TERHADAP KETIMPANGAN PENDAPATAN DI INDONESIA

2017 ◽  
Vol 6 (1) ◽  
pp. 47
Author(s):  
Wita Musfetriyeti
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Negative Impact ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Study Data ◽  
Literature Study ◽  
Inductive Analysis

This study aims to analyze the effect of world oil price (X1), capital expenditure (X2), economic growth (X3), to income inequality (Y) in Indonesia. This type of research is descriptive and associative. The data used is secondary data the time period 1985-2015. with data collection techniques documentation and literature study. Data analysis used is descriptive analysis and inductive analysis. In the inductive analysis there are several tests: (1) Multiple Linear Regression Test; (2) Analysis of Classical Assumptions; (3) Test t and Test F. Research results show that world oil prices have a significant and positive impact on inequality in Indonesia, capital expenditure have a significant and negative impact on inequality in Indonesia, and economic growth has no significant and negative impact on income inequality in Indonesia  α = 0.05.

scholarly journals KAUSALITAS PENANAMAN MODAL DALAM NEGERI, PENANAMAN MODAL ASING DAN PENYERAPAN TENAGA KERJA DI INDONESIA

2020 ◽  
Vol 2 (1) ◽  
pp. 177
Author(s):  
Mutia Ferina ◽  
Ali Anis
Keyword(s):  
Foreign Investment ◽  
Descriptive Analysis ◽  
Panel Cointegration ◽  
Secondary Data ◽  
Test Panel ◽  
Domestic Investment ◽  
Causality Test ◽  
Vector Auto Regression ◽  
Auto Regression ◽  
Inductive Analysis

This study aims to determine and analyze the causality of Domestic Investment (PMDN), Foreign Investment (PMA), and Labor Absorption in Indonesia. This type of research is descriptive and associative research that is research that describes the research variables and find the presence or absence of causality between each of these variables. The type of data in this study are secondary data and panel data from 2013-2017 per Province in Indonesia. Analysis of the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: Analysis of Vector Auto Regression (VAR), Empirical Model Analysis of Vector Auto Regression (VAR), Steps of Analysis of Vector Auto Regression (VAR) such as: Root Unit Test (Panel Root Test), Coordination Test ( Panel Cointegration Test), Optimum Lag, Granger Causality Test, Stability Test, Implementation of Vector Auto Regression (VAR) Models. The results of this study indicate that (1) domestic investment and foreign investment are not qualified in Indonesia, (2) foreign investment and absorption of unsuspected workers in Indonesia, (3) domestic investment and absorption of qualified workers in Indonesia.

scholarly journals ANALISIS KAUSALITAS PERTUMBUHAN EKONOMI, PENGELUARAN PEMERINTAH DAN KUALITAS SUMBERDAYA MANUSIA DI PROVINSI SUMATERA BARAT

2019 ◽  
Vol 1 (1) ◽  
pp. 97
Author(s):  
Hanifa Novela ◽  
Hasdi Aimon
Keyword(s):  
Economic Growth ◽  
Human Resources ◽  
Government Spending ◽  
Descriptive Analysis ◽  
Government Expenditure ◽  
Secondary Data ◽  
Literature Study ◽  
Causality Test ◽  
Inductive Analysis

This study aims to analyze the causal relationship between economic growth, government expenditure and the quality of human resources in West Sumatra. This type of research is descriptive and associative research, where the data used is secondary data in the form of panel data from 2010 to 2017 with the technique of collecting documentation data and literature study obtained from related institutions and institutions. The data analysis used is the data used is descriptive analysis and inductive analysis. In inductive analysis there are several tests, namely: (1) Unit Root Test (2)Cointegration Test (3) Optimal Lag Determination (4) Granger Causality Test (5) PVAR Test. The results of this study indicate that (1) economic growth and government expenditure have a one-way relationship where economic growth affects government spending while government spending does not affect economic growth (2) economic growth and quality of resources humans have a one-way relationship where economic growth affects the quality of human resources and the quality of human resources does not affect economic growth (3) government expenditure and the quality of human resources do not have one-way or two-way relationships ( causality) where government spending does not affect the quality of human resources as well as the quality of human resources does not affect government spending during the study period

scholarly journals Foreign Direct Investment Led Growth Hypothesis and Economic Development in Nigeria

2021 ◽  
Vol 2 (4) ◽  
pp. 376-393
Author(s):  
Ubong Edem Effiong ◽  
Nora Francis Inyang
Keyword(s):  
Economic Development ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Unit Root Test ◽  
Secondary Data ◽  
Short Term ◽  
Causality Test ◽  
Bounds Test ◽  
Growth Hypothesis

This study was an inquiry into the nexus of the foreign-direct investment (FDI) led growth hypothesis, and how it translates into the development of the Nigerian economy as of 1970 – 2018. The study utilized secondary data from the ‘World Development Indicators’ which were analysed using the Bounds test for cointegration and the ‘autoregressive distributed lag (ARDL) approach to divulge both the short-term cum the long-term influence of foreign direct investment net inflow on ‘economic development’ of Nigeria. The Bounds test was conducted after the unit root test revealed that the variables were stationary at mixed order of level and first difference. The outcome of the ARDL Bounds test supported confirmation of long-term association among the variables. The ARDL short-run error correction showed that 14.62% of the instability in the model was corrected yearly. In the short-term, it was discovered that FDI wielded a deleterious and substantial weight on ‘economic development of Nigeria. Meanwhile, the long-term estimates indicated that FDI influenced economic development positively, though not in a significant manner. The Granger causality test supported the fact that FDI causes ‘economic development’ in Nigeria. Given this potential of FDI exerting a positive effect on ‘economic development’, the paper recommended that bottlenecks inherent in FDI influxes in the country should be removed so as to reap the fullest benefits of such inflows in Nigeria.

scholarly journals Dynamic linkage between nifty-fifty and sectorial indices of national stock exchange

2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar
Keyword(s):  
Causal Relationship ◽  
Granger Causality ◽  
Unit Root ◽  
Service Sector ◽  
Banking Sector ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Financial Service ◽  
Causality Test

The main objective of this paper is to analyze the trend and pattern of the Nifty-Fifty and sectorial indices. An attempt has been also made to find out the causal relationship among the Nifty-Fifty and NSE sectorial Indices. The unit root test and Granger-causality test has been applied to check the causal relationship between Nifty-Fifty and sectorial indices. The finding of the study shows that the financial service sector had performed better and followed by the banking sector among all the indices while the Pharma sector and the Realty sector were Under-performed in comparison to other indices. The Nifty-Fifty has been found less volatile in comparison to other sectorial indices however Realty sector indices show the highest volatility during the study period.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYALURAN PENGARUH TINGKAT SUKU BUNGA, NISBAH BAGI HASIL DEPOSITOMUDHARABAH, DAN PERTUMBUHAN EKONOMI TERHADAPPERTUMBUHAN DEPOSITO MUDHARABAH DI BANK SYARIAH MANDIRI PERIODE 2006:01-2011:12

Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 73
Author(s):  
Iqra Aulia
Keyword(s):  
Interest Rate ◽  
Unit Root Test ◽  
Secondary Data ◽  
Dynamic Impact ◽  
Causality Test ◽  
Var Analysis ◽  
Disturbance Factor ◽  
Vector Auto Regression ◽  
The Interest Rate ◽  
Auto Regression

<p>Vector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very usefull to assess the interrelationship between economics variable. This research through the following test phases: unit root test, optimal lag test, granger causality test, and form a vector auto regression model (VAR). The data used in this research is interest rate (i), profit low sharing of mudharabah deposits (nBH), economic growth (gGDP, growth of mudharabah deposits volume (gVM) in the period 2006:01-2011:12. The effectiveness was measured by two indicators. This study used secondary data issued by Syariah Mandiri Bank &amp; Bank Indonesia. The result of the study shows that response velocity of variable in growth of mudharabah deposits volume (gVM) towards shock instrument of interest rate(i) until reach the final target about 4 months. Thus we can conclude that growth of mudharabah deosits volume through Interest Rate is not effective in Indonesia period of 2006:01-2011:12. Keyword: Vector Auto Regression (VAR), growth of mudharabah deposits volume (gVM), The Interest Rate.</p>

scholarly journals Market Integration and Price Transmission amongst the Major Wholesale and Retail Markets of Lentil (Lens culinaris / Lens esculenta) in India

2020 ◽  
Author(s):  
Aniketa Horo
Keyword(s):  
Market Integration ◽  
Unit Root Test ◽  
Uttar Pradesh ◽  
Secondary Data ◽  
Price Transmission ◽  
The Other ◽  
Causality Test ◽  
Retail Markets ◽  
Domestic Prices ◽  
Seasonal Indices

Background: India has become self-sufficient for cereal production but is still dependent upon pulse imports for fulfilling its domestic demands. These imports are very much capable of influencing the domestic prices, so the present study was undertaken to study the integration and price transmission amongst the major lentil producing states of India i.e. Madhya Pradesh, Uttar Pradesh, West Bengal, Bihar, Rajasthan and Assam. Methods: Out of these six states, altogether ten markets and all India average values were undertaken for the present study based on the quantum of lentil marketed and availability of data. The secondary data was collected from the Agmarknet portal for the lentil crop while Minitab and R software were used for the analysis of the retrieved data. Various techniques like Seasonal Indices (SI), unit-root test, Johansen's cointegration test and Granger causality test were applied to find the results and conclusions of this study. Result: The results have stated that the prices of these ten wholesale and retail markets are highly integrated and most of the markets have a uni-directional relationship with each other. The wholesale and retail markets of Jaipur and Lucknow have little/no relationship with the other markets while they have a bidirectional relationship between their own wholesale and retail market prices indicating that they might be the markets where prices are discovered, as they are not found to be influenced by the other spatially separated markets.

Regional Differences between China's Telecom Industry Development and Economic Growth - an Empirical Study Based on Eastern and Western Panel Data

2013 ◽  
Vol 411-414 ◽  
pp. 2410-2416
Author(s):  
Huan Wang ◽  
Zeng Min Wang ◽  
Qi Ling Xie
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Causal Relationship ◽  
Eastern China ◽  
Unit Root Test ◽  
Dynamic Panel Data ◽  
Differential Method ◽  
Western China ◽  
Causality Test ◽  
Telecom Industry

Through establishing a dynamic panel data model and based on panel data which were calculated at 2000 constant prices from 2000 to 2011 of 23 provinces in the eastern and western China, this paper studies the causal relationship between telecommunications development and economic growth of eastern and western China, using the method of unit root test, the differential method and Granger causality test. The empirical results show that there is a causal relationship from gross regional product to the direction of the telecom business volume in the eastern China, but not in the western. This result means that the improvement of telecommunications infrastructure is not enough to stimulate local economic growth, while the western region's economic growth is not significantly driven by the development of the local telecom industry as well.

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