scholarly journals Seasonal Cointegration Approach on Expenditure Based Gross Domestic Product and Its Some Sub-Components for Turkey

Author(s):  
Mehmet Özmen ◽  
Sera Şanlı

In this study, it has been aimed to investigate the existence of co-integration relationship between quarterly gross domestic product (GDP), final consumption expenditures of resident households (CONS), exports of goods and services (EXP), government final consumption expenditures (GOV) and private sector machinery-equipment (PRIEQ) series for the period 1998Q1-2014Q4 for Turkey. Since, Engle and Granger (1987) cointegration test does not take unit roots at seasonal frequencies into account; seasonal cointegration approach proposed by Engle, Granger, Hylleberg and Lee (EGHL) (1993) has been conducted in order to be able to detect the long-run equilibrium relationship among variables which are integrated at the same seasonal frequency. With the aim of determining the stationarity order of series, HEGY seasonal unit root test has been applied. Consequently, there has been found a cointegrating relationship only between GDP and GOV series at quarterly frequencies for only the auxiliary regression including constant term and seasonal dummies.

2018 ◽  
Vol 21 (3) ◽  
pp. 95-108
Author(s):  
Arshad Ullah Jadoon ◽  
Yangda Guang ◽  
Anwar Ahmad ◽  
Sajad Ali

The research investigated the determinants of Pakistan’s exports by using time series data from 1990–2016. Certain econometric tests were also applied to check cointegration among variables. A unit root test was used to check the stationarity of selected variables. After the stationarity of the data, a vector error correction model is used to estimate the effect of regressors, like foreign direct investment, gross domestic product, employment level, and consumption expenditures on a dependent variable, i.e. exports in the short run. The result shows the positive relationships that foreign direct investment, gross domestic product and employment level have on exports, and the adverse impact of consumption expenditures on the dependent variable. The study uses Johansen’s cointegration test for the long run. The results show that all the variables are co‑integrated in the long run. It is suggested that the government should encourage foreign direct investment and gross domestic product, which would help accelerate Pakistan’s exports. It is also suggested that whenever policymakers provide a trade policy, in particular, in relation to exports, then the adverse effect of exchange rate depreciation, external debt burdens, taxes, sanctions and protectionism should be quantified, and necessary measures be suggested so as to minimize any repercussions.


This study examines financial deepening, financial intermediation and Nigerian economic growth. The main purpose is to examine the relationship between financial deepening and Nigerian economic growth while the specific objectives are to examine the impact of interest rate, capital market development, rational savings, credit to private sector and broad money supply on the growth of Nigerian. Secondary data of the variables were sourced from the publications of Central Bank of Nigeria (CBN) from 1981-2017. Nigerian Real Gross Domestic Product (RGDP) was used as dependent variable while Broad money supply (M2), Credit to Private Sector (CPS), National Savings (NS), Capital Market Capitalization (CAMP) and Interest Rate (INTR) was used as independent variables. Multiple regressions with E-view statistical package were used as data analysis techniques. Cointegration test, Augmented Dickey Fuller Unit Root Test, Granger causality test was used to determine the relationship between the variable in the long-run and short-run. R2, F – statistics and β Coefficients were used to determine the extent to which the independent variable affects the dependent variable. It was found from the regression result that Broad Money Supply, credit to private sector have position effect on the growth of Nigerian Real Gross Domestic Product while National Savings, Capitalization and Interest Rate on Nigeria Real Gross Domestic Product. The co-integration test revealed presence of long-run relationship among the variables, the stationary test indicated stationarity of the variables at level. The Granger Causality Test found bi – variant relationship from the dependent to the independent and from the independent to the dependent variables. The regression summary found 99.0% explained variation, 560.5031, F – statistics and probability of 0.00000. From the above, the study concludes that financial deepening has significant relationships with Nigerian economic growth. We recommend that government and the financial sector operators should make policies that will further deepen the functions of the financial system to enhance Nigerian economic growth.


2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni

The time series yearly data for Gross Domestic Product (GDP), inflation and unemployment from 1980 to 2012 was used in the study. First difference of the logged data became stationary as suggested by the time series plots. Johansen Maximum Likelihood Cointegration test indicated a long-run relationship among the variables. Granger Causality tests suggested unidirectional causality between inflation and GDP, implying that GDP is Granger caused by inflation in Zimbabwe. Another unidirectional causality was noted between unemployment and inflation. The causality between unemployment and inflation imply that unemployment do affect GDP indirectly since unemployment influences inflation which in turn positively affect GDP.


2013 ◽  
Vol 59 (No. 5) ◽  
pp. 211-218 ◽  
Author(s):  
O. Ramphul

The study empirically investigates the causality between agricultural exports and gross domestic product (GDP) agriculture in India using the Granger causality test via Vector Error-Correction Model over the period 1970–1971 to 2009–2010. The results of unit-root tests suggest that the series of India’s GDP agriculture and farm exports are integrated of order one. The results of the Auto Regressive Distributed Lag bounds testing approach to co-integration show that there is a positive and stable long-run equilibrium relationship between India’s agricultural exports and GDP of agriculture. We find a unidirectional causal link running from farm exports to gross domestic product of agriculture. It indicates that in India, agricultural products export Granger causes the growth in GDP of agriculture, which supports the export-led growth hypothesis. It is suggested that in order to accelerate the agricultural growth rate in India, there is a need to implement the policies encouraging the agricultural exports.  


Author(s):  
Najid Ahmad ◽  
Muhammad Farhat Hayat ◽  
Muhammad Luqman ◽  
Shafqat Ullah

This paper investigates the relationship between foreign direct investment and economic growth in Pakistan. The co-integration and error correction model is used to show the relationship between foreign direct investment and gross domestic product in Pakistan. Gross domestic product is taken as dependent variable while foreign direct investment, labor force and domestic capital as independent variables. The results suggest that there is a positive relation between foreign direct investment and gross domestic product in short as well as long run. If we want to make economic progress then there is a need to invite foreign investors because foreign direct investment increases GDP that is economic growth.


Author(s):  
Kenneth Apeh ◽  
Abubakar Muhammad Auwal ◽  
Nweze Nwaze Obinna

The present reality of the Nigerian economy is the fact that inflation has remained unabated in spite of all exchange rate measures that have been adopted by the monetary authority. This calls for investigation into the extent to which exchange rate impact on inflation in Nigeria. The research paper examined the impact of exchange rate depreciation on inflation in Nigeria for the period 1981–2017, using Auto Regressive Distributed Lag (ARDL) Bounds Test Cointegration Procedure. The research shows that inflation rate in Nigeria is highly susceptible to lagged inflation rate, exchange rate, lagged exchange rate, lagged broad money, and lagged gross domestic product at 5% level of significance. A long run relationship was also found to exist between inflation rate, gross domestic product and general government expenditure, indicating that the model has a self-adjusting mechanism for correcting any deviation of the variables from equilibrium. Therefore, this study concludes that exchange rate is an important tool to manage inflation in the country; thus, this paper recommends that policies that have direct influence on inflation as well as exchange rate policies that would checkmate inflation movement in the country, should be used by the Central Bank of Nigeria. Also, monetary growth and import management policies should be put in place to encourage domestic production of export commodities, which are currently short-supplied. In addition, policy makers should not rely on this instrument totally to control inflation, but should use it as a complement to other macro-economic policies.


2020 ◽  
Vol 4 (2) ◽  
pp. 149-162
Author(s):  
Gebi Gita Marsi ◽  
Dyah Titis Kusuma Wardani

This study aims to determine what affect GDP (Gross Domestic Product) in constant Indonesian prices. The dependent variable used is GDP (Gross Domestic Product), and the independent variables are Islamic stocks, Islamic mutual funds, Islamic bonds (Sukuk), and the BI rate. The data used in this study are monthly during the period 2016: 1-2018: 12 sourced from OJK, BI, and Ministry of Home Affairs. The estimation tool used in this study is the Vector Error Correction Model (VECM) using E-views 7.0. Estimation results show that in the short term, the GDP variable (Gross Domestic Product) itself, Islamic stocks, BI rate, and Islamic mutual funds significantly affect GDP (Gross Domestic Product). In the long run, the estimation results show that sharia stock variables and sharia mutual funds have a significant effect on GDP (Gross Domestic Product). While the sharia bond variable (Sukuk) and the BI rate do not significantly affect GDP (Gross Domestic Product). VECM estimation results in this study also produce important Says, namely IRF (Impulse Response Function) and VDC (Variance Decomposition).


2020 ◽  
Vol 3 (2) ◽  
pp. 299-305
Author(s):  
Debora Silvia Hutagalung ◽  
◽  
Junaidi Siahaan ◽  

This study entitled "Analysis of The Relationship Between Gross Domestic Product and Indonesian Exports (Granger causality test)”. This research was conducted because of the dualism of the theory between the two variables. In macroeconomic theory, the relationship between Gross Domestic Product is one of the similarities, because exports contribute to Gross Domestic Products on the demand side, while neoclassical trade theory emphasizes causality related to household production and assistance for exports.The purpose of this study is to determine the relationship between Gross Domestic Product and exports. This study uses several analytical methods: Unit Root Test, CointegrationTest, Granger Causality Test using the E-views program7 and using Quarterly data.The results of the estimation of this study are the estimation of the relationship in GDP and exports, or in other words the Gross Domestic Product affects Indonesia's exports. This is concluded based on the estimation results that can be seen from the statistical F value that is greater than the f-table (8.958205> 3.841466) on the Null hypothesis. GDP is not an Export Granger with a 95% confidence level. This means, GDP affects exports When GDP can affect the level of exports in the intervals of 2000 to 2012.Keywords:Gross Domestic Product(GDP), Exports, Granger Causality Test


2021 ◽  
Vol 13 (19) ◽  
pp. 10800
Author(s):  
Avishek Khanal ◽  
Mohammad Mafizur Rahman ◽  
Rasheda Khanam ◽  
Eswaran Velayutham

Tourism contributes to the growth of an economy via earning foreign currencies and employment opportunities. However, tourism also contributes to greater energy consumption because of various tourist activities such as hotel accommodations and transportation. This study investigates the long-term cointegrating relationship between international tourist arrivals and primary energy consumption in Australia. In addition, the roles of gross domestic product, gross fixed capital formation, financial development, and total population on energy consumption are also examined. The study covered the last four decades (1976–2018) using data from the Australian Bureau of Statistics, BP Statistical Review, and the World Development Indicators. Augmented Dickey-Fuller, Phillips-Perron, Autoregressive distributed lag (ARDL) bound tests, Johansen and Juselius, Bayer-Hanck cointegration test, and several key diagnostic tests have been conducted to assess the relationship. The estimated results indicate that tourist arrivals, gross domestic product, and financial development have a significant long-run cointegrating relationship with energy consumption. Policy measures are suggested based on the findings of this study.


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