scholarly journals The Research of the Causal Relationship Between Unemployment and Emigration in Lithuania

2014 ◽  
Vol 15 (4) ◽  
pp. 294-301 ◽  
Author(s):  
Gitana Dudzevičiūtė ◽  
Justinas Čekanauskas
Keyword(s):  
European Union ◽  
Causal Relationship ◽  
Granger Causality ◽  
Unemployment Rate ◽  
Granger Causality Test ◽  
Strong Relationship ◽  
Annual Data ◽  
The European Union ◽  
Causality Test ◽  
European Union Countries

This paper aims to investigate the causal relationship between unemployment and emigration in Lithuania using Granger – causality test. The research is based on annual data spanning the period of 2004–2012. The investigation encompasses two steps. Firstly, the authors have analyzed the Lithuanian position regarding relationship between unemployment rate and emigration in the context of the European Union countries; secondly, the causality between unemployment and emigration has been determined in the case of Lithuania. On the basis of the European Union countries statistical data, results of the research have revealed a weak correlation between unemployment rate and emigration. On the contrary, evidence has suggested the existence of a strong relationship between unemployment and emigration in Lithuania. Results of the Granger – causality test have showed that unemployment impacts on emigration in Lithuania.

The Relationship Between Stock Market Indices of the Biggest Six Economies of the European Union and BIST 100

2020 ◽  
pp. 257-275
Author(s):  
Serdar Ögel ◽  
Fatih Temizel
Keyword(s):  
European Union ◽  
Stock Market ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Var Model ◽  
The European Union ◽  
Causality Test ◽  
Integration Test ◽  
Causality Relationship ◽  
The Relationship

This chapter examines the relationship between stock market indices of the biggest six economies of the European Union and BIST 100. In this context, this study used the daily time series regarding indices of DAX for Germany, CAC 40 for France, FTSE MIB for Italy, IBEX 35 for Spain, AEX for Holland, FTSE 100 for United Kingdom, and BIST 100 for Turkey from 2014 to 2018. To test whether there is a co-integration relationship among indices, Johansen co-integration test was used. Since a co-integration relationship was not found between series, causality relationship between the European stock market indices and Turkey was tested with Granger causality test by establishing standard VAR model. As a result, a unidirectional Granger causality relationship was found from DAX, FTSE 100, CAC 40, IBEX 35, and AEX to BIST 100 according to lag length 1 and 2. However, a unidirectional Granger causality relationship was only found from FTSE MIB to BIST 100 for lag length 1. For lag length 1 and 2, no causality relationship was found from BIST 100 to the selected European stock market indices.

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 Financial Development and Economic Growth: Time Series Analysis of Economy of Pakistan

2018 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
Muhammad Shoukat Malik ◽  
Raisham Hayee ◽  
Raima Adeel
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Causal Relationship ◽  
Financial Development ◽  
Granger Causality Test ◽  
Growth Time ◽  
Annual Data ◽  
Causality Test ◽  
Stationary Level

This study aims in understanding the causal relationship between financial development and economic growth. This research used annual data and applied dickey fuller test and granger causality test in order to understand stationary level and causation in variables. The results of this test give support to first hypothesis that financial development causes economic growth. While no evidence was found on the support of our second hypothesis i.e. economic growth is causing financial development.

scholarly journals ODA and Provincial Economic Growth in Vietnam

2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Dang Ngoc Duc ◽  
Do Thi Ngoc Lan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Evidence ◽  
Case Studies ◽  
Causal Relationship ◽  
Granger Causality ◽  
Focal Point ◽  
Causal Effect ◽  
Granger Causality Test ◽  
Causality Test

The focal point of this paper is focused on assessing the causal relationship between ODA and economic growth in the localities of Vietnam. This research uses panel data of ODA and GDP from 63 provinces of Vietnam by using Granger Causality test. The results showed that ODA has a causal effect on economic growth (GDP) and vice versa, economic growth decides to attract ODA in provinces in Vietnam. This result complements studies on the causal relationship between ODA and economic growth using new empirical evidence through case studies in the provinces of Vietnam.

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.

Causal Relationship between Asset Prices and Output in the United States: Evidence from the State-Level Panel Granger Causality Test

2015 ◽  
Vol 50 (10) ◽  
pp. 1728-1741 ◽  
Author(s):  
Furkan Emirmahmutoglu ◽  
Mehmet Balcilar ◽  
Nicholas Apergis ◽  
Beatrice D. Simo-Kengne ◽  
Tsangyao Chang ◽  
...  
Keyword(s):  
United States ◽  
Causal Relationship ◽  
Granger Causality ◽  
Asset Prices ◽  
State Level ◽  
Granger Causality Test ◽  
The United States ◽  
The State ◽  
Causality Test ◽  
Panel Granger Causality

scholarly journals When The Last Tree Dies, The Last Man Dies: Do Forests Hold The Key To Survival In Ghana? A Critical Analysis Using The Bootstrapped Rolling Window Granger Causality Test Approach

2022 ◽  
Author(s):  
Michael Kaku Minlah ◽  
Xibao Zhang ◽  
Philipine Nelly Ganyoh ◽  
Ayesha Bibi
Keyword(s):  
Life Expectancy ◽  
Causal Relationship ◽  
Granger Causality ◽  
Human Life ◽  
Granger Causality Test ◽  
Causality Test ◽  
Vector Borne Diseases ◽  
Long Run ◽  
Rolling Window

Abstract This paper investigates the role of forests in the life expectancy of people in Ghana. We test whether the extinction of forests will inevitably lead to extinction of people in Ghana. We first examined the causal relationship between life expectancy and deforestation using the full sample bootstrap Granger causality test approach and find causality to run from deforestation to life expectancy with no feedback from life expectancy to deforestation. Testing for parameter stability, we found the short run and long run parameters of the estimated Vector Auto Regressive models to be unstable. A time-varying approach, the rolling window bootstrapped Granger causality test was then employed to investigate the causal relationship between life expectancy and deforestation. The results showed that deforestation has a negative effect on life expectancy, confirming the widely accepted saying that the health of forests is inextricably linked to the health of mankind. The empirical results further show that, on trend higher life expectancy increases the rate of deforestation in Ghana. Highlighting the importance of the role of forests in influencing life expectancy in Ghana, we recommend awareness creation on the role of forests in supporting human life and also extensive afforestation programs to reduce the rate of deforestation in Ghana. This, we believe, will reduce the spread of vector borne diseases such as malaria and reduce the surge in respiratory diseases which shorten the life span of Ghanaians.JEL codesQ23, Q50, Q53, Q58, Q58

scholarly journals The Relation between Tourism and Economic Growth: A Case of Saudi Arabia as an Emerging Tourism Destination

2020 ◽  
Vol 3 (4) ◽  
pp. 29-47
Author(s):  
Lamia Jamel
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Financial Development ◽  
Positive Impact ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Annual Data ◽  
Causality Test

This paper examines empirically the relation between tourism and economic growth in Saudi Arabia. The authors try to justify how tourism contributes to the economic growth of Saudi Arabia. There are applied descriptive statistics, unit root test, VAR model and Granger Causality test as an econometric methodology to examine the connection between tourism and economic growth in Saudi Arabia for the annual data in the period from 1990 to 2018. The main empirical results of the study find out that tourism affects positively the economic growth in Saudi Arabia. Also, there is found a positive nexus among tourism and economic growth. Furthermore, CO2 emissions and financial development impact positively the tourism sector, while trade openness predicts a negative effect on tourism. Additionally, CO2 emissions, financial development, and trade openness have a positive impact on economic growth in Saudi Arabia. Finally, the Granger causality test provides evidence of bidirectional nexus between tourism and economic growth in Saudi Arabia. This paper contributes to the current research by explaining the causal nexus among tourism and economic growth in Saudi Arabia during the period from 1990 to 2018, applying a vector autoregressive model and Granger Causality.

scholarly journals Analisis Kausalitas Pengeluaran Pemerintah, Investasi, dan Tenaga Kerja Terhadap Produk Domestik Regional Bruto SWP Jember dan Sekitarnya

2018 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Nindya Eka Santi ◽  
Aisyah Jumiarti ◽  
Fivien Muslihatinningsih
Keyword(s):  
Panel Data ◽  
Causal Relationship ◽  
Granger Causality ◽  
Granger Causality Test ◽  
Government Budget ◽  
Causality Test ◽  
Goods And Services ◽  
Regional Area ◽  
The Relationship

RGDP is the total of all goods and services value which produced by all economics unit within a region. This study aims to determine the causality’s direction between government budget and RGDP, investment and RGDP, labor and RGDP, using panel data on RDU Jember and its regional area during 2000– 2014. The Granger causality test is used to identify the direction of the relationship between the variable between government budget and RGDP, investment and RGDP, labor and RGDP. The result of this study showed that there is a causal relationship between variables.Keywords: Granger causality, RGDP, government budget, investment, and labor

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