scholarly journals The causal relationship between government revenue and expenditure in Namibia

2008 ◽  
Vol 2 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Joel H. Eita ◽  
Daisy Mbazima

The relationship between government revenue and government expenditure is important, given its relevance for policy especially with respect to the budget deficit. The purpose of this paper is to investigate the relationship between government revenue and government expenditure in Namibia. It investigates the causal relationship between government revenue and government expenditure using the Granger causality test through cointegrated vector autoregression (VAR) methods for the period the period 1977 to 2007. The paper tests whether government revenue causes government expenditure or whether the causality runs from government expenditure to government revenue, and if there is bi-directional causality. The results show that there is unidirectional causality from government revenue to government expenditure. This suggests that unsustainable fiscal imbalances can be mitigated by policies that stimulate government revenue.

Author(s):  
Abdelkader Sahed ◽  
Mohammed Mékidiche ◽  
Hacen Kahoui

The aim of this study is to examines the causal relationship between government revenues and expenditures in Algeria during the period 1990 to 2019. Data properties were analyzed to determine their stationarity using the Dickey-Fuller (ADF) test, Phillips-Perron test and Kwiatkowski, Phillips, Schmidt, Shin (KPSS) test, as well as the Granger Causality Test (1969) of showing the direction. The results show that there is unidirectional causal relationship between government expenditure and revenue with the direction of causality running from government revenues to expenditures.


2018 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Nindya Eka Santi ◽  
Aisyah Jumiarti ◽  
Fivien Muslihatinningsih

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


2019 ◽  
Vol 11 (12) ◽  
pp. 28
Author(s):  
Emad Omar Elhendawy

This study investigates to what extent of coordination between the fiscal and monetary policies in Egypt in the period 1980-2017, it has been adopted in its methodology on the vector error correction and Granger causality test. It concludes that there is a significant relation between money supply and budget deficit on one hand and inflation on the other hand, and that fiscal policy is dominant in monetary policy, as a change of 10% of the budget deficit results in an increase in the inflation rate of 8.1%. As for the Granger causality test. Thus stresses the existence of causal relationship to one direction of inflation against both the budget deficit and the money supply, which affects the budget deficit in the second slowdown. Then it feeds the budget deficit and inflation in the third year, which in turn feeds the budget deficit in the fourth year and the causal relationship between inflation and money supply has concluded that there is a one-way causal relationship of money supply to inflation after four slows and then inflation affects the money supply from the fifth to the tenth slowdown. As for the relationship of the budget deficit to money supply, there may be a one-way causal relationship between the budget deficit and the money supply from the second to the tenth year, except the third year, which also confirms the dominance of fiscal policy on monetary policy in Egypt in the period under consideration.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 701
Author(s):  
Rifki Ihsan ◽  
Hasdi Aimon ◽  
Alpon Satrianto

The aim of this study is to analyze the relationship between Inflation, Income Inequality and Economic Growth in Indonesia. The type of this research is associative and analysisdescriptive. The data used in this reseach is secondary of time series from 1986 to 2016 obtained from Word Bank. Analysis model using the Vector Autoregression (VAR). Theanalysis initially used the Vector Autoregression (VAR), because the stationer variabel on first diferent range, then this study continued byVector Error CorrectionModel (VECM) and Granger Causality Test. The result of this study show (1) There is nocausality between Inflation affects to Income Inequality, (2) There is no causality between Inflation affects to Economic Growth, (3) There is causality in the direction in which Income Inequality affects to Economic Growth. In addition, because of the prevalence of income in Indonesia, this will increase economic growth in Indonesia. Keywords:Inflation, Income Inequality, Economic Growth


Media Ekonomi ◽  
2015 ◽  
Vol 23 (1) ◽  
pp. 11
Author(s):  
Larasati Indramadhini ◽  
Poltak P Sitompul

<p><em>This thesis is discussing about the analysis of causality or reciprocity that happen between export, import and GDP in Indonesia 1983</em><em>-</em><em>2013. The variable which used are export, import and GDP in Indonesia. The method which used</em><em> </em><em>in this thesis is Vector Autoregression (VAR) method and Granger Causality Test. The purpose of this research is to determine the influence of causality of export and GDP, import and GDP, and also export and import. Based on the result of Granger Causality Test, export can influence GDP, import can influence GDP and export can influence import. Based on Johansen Cointegration Test, all of the variables only have a causal relationship in the short term. In the result of using this VAR method, show that in Indonesia, based on the three models which test by akaike value the lowest is import model, so it can conclude that the best model for Indonesia is Import=f</em><em> </em><em>(GDP, export). </em></p>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar

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.


2021 ◽  
Vol 2 (2) ◽  
pp. 181-193
Author(s):  
Esti Pasaribu ◽  
Septriani Septriani

In this paper, we tested the Wagner’s Law against the Keynesian Hypothesis for Indonesia using granger causality test. After conducting theoretical and empirical theory, this paper is analysing the relationship between government expenditure and GDP percapita. The long run parameters and causality test found valid Wagners’ Law in Indonesia not Keynesian Hypothesis. The results reveal a positive and statistically significant long run effect running from economic growth toward the government expenditure refer to Wagner’s Law in Indonesia. Further more, the growth of population is giving a positive effect for government expenditure also.


Author(s):  
Serdar Ögel ◽  
Fatih Temizel

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.


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