Short-Run Forecasting of Argentine Gross Domestic Product Growth

2015 ◽  
Vol 51 (3) ◽  
pp. 473-485 ◽  
Author(s):  
Maximo Camacho ◽  
Marcos Dal Bianco ◽  
Jaime Martinez-Martin
2019 ◽  
Vol 3 (3) ◽  
pp. 251
Author(s):  
Mercy Wairimu Mwangi ◽  
Amos Njuguna ◽  
George Achoki

The study established the relationship between Foreign Direct investments and Capital Flight in Kenya over the period 1998 to 2018. Quarterly time series data for calculation of capital flight and Gross Domestic Product growth rate, inflation and Foreign Direct investments were collected from the Central Bank of Kenya and Kenya National Bureau of Statistics. Two Autoregressive Distributed-lagged model models were fitted. Regression coefficients for FDI were 0.44 and -0.040 in the short run and -0.501 in the long run. The p values were 0.008 and 0.015 and 0.654 respectively. The results indicated that a 1 % increase in current quarters FDI would lead to a 0.44% increase in capital flight and a 1% increase in previous quarters FDI would lead to a decrease of 0.040% in capital flight. Regression results showed a coefficient of 0.006 and - 0.004 for Gross Domestic Product growth rate in the short run, and 0.038 in the long run. The p values were 0.422, and 0.638 and 0.749 respectively meaning that Gross Domestic Product growth rate and the capital flight had no significant relationship. Regression results showed a coefficient of -0.001 and -0.005 for inflation in the short run and -0.088 for inflation for the long run. The p values were 0.844 and 0.363 and 0.253 respectively. This indicated that inflation and the capital flight had an insignificant relationship. The study recommends that government adopts strategic management on FDI inflow transactions to avoid possible leakages of the same money going out as capital flight.


2021 ◽  
Vol 1 (10) ◽  
pp. 91-106
Author(s):  
Evgeny V. Sokolov ◽  
◽  
Evgeny V. Kostyrin ◽  
Svetlana V. Lasunova ◽  
◽  
...  

The proposed technology of financing enterprises and the Russian economy, harmoniously combining the interests of working citizens, owners and the state, makes it possible, at quite achievable rates of gross domestic product growth (enterprise revenue) by 3.5% per year, to ensure a 46.6% increase in wages of working citizens over 5 years, which will practically end poverty. To increase contributions to the development fund for 5 years by 25%, which the owners of enterprises and the entire workforce are interested in, since this ensures the growth of their incomes and the possibility of constant modernization and updating of technological equipment and the release of new competitive products. Increase in 5 years (despite a gradual decrease to 14.51% of contributions to the Pension Fund RF) the amount of funds received by budgets of all levels by 22%, which will allow the state to solve many social problems.


2017 ◽  
Vol 9 (10) ◽  
pp. 145 ◽  
Author(s):  
Bibi Rouksar-Dussoyea ◽  
Ho Ming-Kang ◽  
Raja Rajeswari ◽  
Benjamin Chan Yin-Fah

This panel analysis study is conducted to examine the relationship between inflation rates (CPI) and unemployment rates (HUR) with the Gross Domestic Product growth rates (GDP), before and after the 2008 European crisis. Quarterly data for 18 consecutive years and six sample countries from Europe (Austria, France, Germany, Greece, Hungary and United Kingdom) have been considered in the panel. In order to get a more profound understanding of the impacts of the European crisis on the relationship between the variables, the panel data set has been classified into 3 separate panels, such that Panel 1 (1999Q1-2007Q4) represents before-crisis panel, Panel 2 (2008Q1-2016Q4) represents the during/after crisis panel and lastly, Panel 3 (1999Q1-2016Q4) represents the long-run panel. Panel 1 is subject to the Fixed Effects with LSDV model, whereby four out of the six countries are significant, and CPI and HUR are insignificant predictors of the GDP. Both Panel 2 and Panel 3 are subject to the Two-way Random Effects model, whereby both CPI and HUR have negative significant effect on GDP. Granger Causality test has also been carried out to determine whether causality is present among variables, based on each panel.


2017 ◽  
Vol 55 (4) ◽  
pp. 481-499 ◽  
Author(s):  
Branimir Kalaš ◽  
Vera Mirović ◽  
Jelena Andrašić

AbstractIn a research paper, the authors provide an empirical approach to taxes and economic growth in the United States in the period 1996-2016. The basic goal is to explore how taxes affect economic growth. The subject of the research is measuring the effects of tax revenue growth and tax form as a personal income tax, corporate income tax and social security contributions on gross domestic product as a proxy for economic growth. Methodology framework includes several tests to clear the potential problem of heteroscedasticity, autocorrelation, multicollinearity and specification of the model. Based on diagnostic tests, a regression model is adequately created where fundamental econometric procedures are applied. Correlation matrix reflects a strong and positive relationship between tax revenue growth and corporate income tax on the one side and gross domestic product growth, on the another side. Also, personal income tax and social security contributions are weakly related to gross domestic product growth. The model shows a significant effect of tax revenue growth and social security contributions, while personal income tax and corporate income tax do not have a significant impact on gross domestic product growth. Interestingly, personal income tax as the main tax form in the tax structure of the United States has no significant impact on economic growth compared to social security contributions which percentage share is lesser.


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