The Relationship Between Government Expenditure And Gross Domestic Product In Algeria:, Test Study For Wagner's Law And Keynesian Hypothesis During The Period 1991-2015

2019 ◽  
pp. 19
Author(s):  
Mouloud Melikaoui
Keyword(s):  
Gross Domestic Product ◽  
Government Expenditure ◽  
Domestic Product ◽  
Wagner’S Law ◽  
Test Study ◽  
Wagner's Law ◽  
The Relationship

PENGUJIAN WAGNER'S LAW VERSUS KEYNESIAN HYPOTHESIS: PENDEKATAN REGIONAL INDONESIA

2021 ◽  
Vol 2 (2) ◽  
pp. 181-193
Author(s):  
Esti Pasaribu ◽  
Septriani Septriani
Keyword(s):  
Government Expenditure ◽  
Granger Causality Test ◽  
Empirical Theory ◽  
Causality Test ◽  
Wagner’S Law ◽  
Long Run ◽  
Wagner's Law ◽  
The Government ◽  
The Relationship ◽  
Positive Effect

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.

scholarly journals The validity of Wagner’s law in Egypt from 1960–2018

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noha Hesham Ghazy ◽  
Hebatallah Ghoneim ◽  
Dimitrios Paparas
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Government Expenditure ◽  
Empirical Literature ◽  
Content Type ◽  
Wagner’S Law ◽  
Series Analysis ◽  
Wagner's Law ◽  
German Economist ◽  
The Relationship

Purpose One of the main theories regarding the relationship between government expenditure and gross domestic product (GDP) is Wagner’s law. This law was developed in the late-19th century by Adolph Wagner (1835–1917), a prominent German economist, and depicts that an increase in government expenditure is a feature often associated with progressive states. This paper aims to examine the validity of Wagner’s law in Egypt for 1960–2018. The relationship between real government expenditure and real GDP is tested using three versions of Wagner’s law. Design/methodology/approach To test the validity of Wagner in Egypt, law time-series analysis is used. The methodology used in this paper is: unit-root tests for stationarity, Johansen cointegration approach, error-correction model and Granger causality. Findings The results provide strong evidence of long-term relationship between GDP and government expenditure. Moreover, the causal relationship is found to be bi-directional. Hence, this study provides support for Wagner’s law in the examined context. Research limitations/implications It should be noted, however, that there are some limitations to this study. For instance, in this paper, the government’s size was measured through government consumption expenditure rather than government expenditure due to data availability, which does not fully capture the government size. Moreover, the data available was limited and does not fully cover the earliest stages of industrialization and urbanization for Egypt. Furthermore, although time-series analysis provides a more contextualized results and conclusions, the obtained conclusions suffer from their limited generalizability. Originality/value This paper aims to specifically make a contribution to the empirical literature for Wagner’s law, by testing the Egyptian data using time-series econometric techniques for the longest time period examined so far, which is 1960–2018.

Abstract P360: Hypertension Treatment Rates And Health Worker Density: An Analysis Of Worldwide Data

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Rajesh Vedanthan ◽  
Mondira Ray ◽  
Valentin Fuster ◽  
Ellen Magenheim
Keyword(s):  
Gross Domestic Product ◽  
Health Worker ◽  
World Bank ◽  
Domestic Product ◽  
Hypertension Treatment ◽  
Treatment Rate ◽  
Capita Gross Domestic Product ◽  
The World ◽  
Per Capita ◽  
The Relationship

Introduction: Hypertension is the leading global risk for mortality and its prevalence is increasing in many low- and middle-income countries. Hypertension treatment rates are low worldwide, potentially in part due to insufficient human resources. However, the relationship between health worker density and hypertension treatment rates is unknown. Objective: To conduct an econometric analysis of the relationship between health worker density and hypertension treatment rates worldwide. Methods: Hypertension treatment rates were collected from published reports between 1980 and 2010. Data on health worker (physician and nurse) density were obtained from the World Health Organization (WHO). Data for potential confounding variables--per capita gross domestic product, hospital bed density, burden of infectious diseases, land area and urban population--were obtained from WHO and World Bank databases. Potential interaction by per capita gross domestic product was evaluated. Multivariable logistic-logarithmic regression analysis was performed using Stata. Results: Full data were available from 146 countries spanning all World Bank income classification categories. Health worker density was significantly associated with hypertension treatment rate in the unadjusted model (beta = 0.23; p < 0.005). In the fully adjusted model, the association remained positive but was not statistically significant (beta = 0.30; p = 0.078) (Figure). Hypertension treatment rates were more strongly related to physician than nurse density (beta = 0.21 vs 0.08; p = 0.10 vs 0.49). Conclusion: Hypertension treatment rates across the world appear to be related to health worker density, although the relationship does not achieve strict statistical significance. Our results suggest that a 10% increase in health worker density is associated with a 2-3% increase in hypertension treatment rate. Given the global burden of hypertension and other chronic diseases, WHO guidelines for health workforce staffing may need to be reconsidered.

scholarly journals Re-testing Wagner's Law: Structural breaks and disaggregated data for South Africa

2017 ◽  
Vol 9 (4(J)) ◽  
pp. 49-61
Author(s):  
Mthokozisi Mlilo ◽  
Matamela Netshikulwe
Keyword(s):  
South Africa ◽  
Structural Breaks ◽  
Government Expenditure ◽  
Active Role ◽  
Output Growth ◽  
Causality Test ◽  
Wagner’S Law ◽  
Education Expenditures ◽  
Wagner's Law ◽  
The Government

Direction of causality between government expenditure and output growth is pertinent for a developing country since a sizeable volume of economic resources is in the hands of the public sector. This paper investigates the Wagner's law in South Africa over the post-apartheid era, 1994-2015. This paper is unique to present studies since it uses disaggregated government expenditure and controls for structural breaks. The Granger non-causality test of Toda & Yamamoto, a superior technique compared to conventional Granger causality testing, is employed and this paper finds no support for Wagner's law. However, there is causality running from total government and education expenditures to output. This finding is in line with the Keynesian framework. It is recommended in the paper that the government should take an active role in promoting output growth through increases in education expenditures in particular.

scholarly journals The Wagner’s law testing in the Visegrád Four countries

2020 ◽  
Vol 20 (4) ◽  
pp. 409-430
Author(s):  
Žaneta Tesařová
Keyword(s):  
Var Model ◽  
Capital Expenditures ◽  
Public Expenditures ◽  
Short Term ◽  
The Czech Republic ◽  
Wagner’S Law ◽  
Vec Model ◽  
Wagner's Law ◽  
Johansen Cointegration Test ◽  
The Relationship

AbstractThis research paper analyses the relationship between gross domestic product and public expenditures in nominal terms. The analysis is being done by using the standard Peacock-Wiseman specification of the Wagner’s law and provides the results for the Visegrád Four countries, i.e. the Czech Republic, Slovakia, Poland and Hungary. We aim to answer a question concerning the existence of a long and/or short-term relationship between the nominal GDP and nominal public expenditures, which consist of current and capital expenditures. To address this question, we employ the VAR model, the Johansen Cointegration test and the VEC model. We study a period between the first quarter of 1999 and the second quarter of 2019 and find out mixed results for the Visegrád Four countries.

scholarly journals An analysis of the relationship of inflation and unemployment to the gross domestic product (gdp) in zimbabwe

2014 ◽  
Vol 1 (3) ◽  
pp. 156-162
Author(s):  
Tendai Makoni
Keyword(s):  
Time Series ◽  
Gross Domestic Product ◽  
Cointegration Test ◽  
Domestic Product ◽  
Long Run ◽  
Causality Tests ◽  
Granger Causality Tests ◽  
Relationship Of ◽  
The Relationship ◽  
Yearly Data

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.

The Relationship Between Climate Change and Financial Stability

2021 ◽  
pp. 118-133
Author(s):  
Joan Mwihaki Nyika
Keyword(s):  
Climate Change ◽  
Risk Management ◽  
Gross Domestic Product ◽  
Financial Stability ◽  
Domestic Product ◽  
Financial Systems ◽  
Financial Firms ◽  
Climate Risk Management ◽  
Liability Risks ◽  
The Relationship

Climate change is the greatest challenge of the modern day with the capacity to destabilize global financial systems and socioeconomic welfare. This chapter explores the uncertainties posed by climate change, its effects on the economy, the risks associated with the phenomenon, and approaches to manage them through risk management. Using documented evidence, climate change is shown to result in gross domestic product reductions; physical, transition, and liability risks that result to systemic financial problems characterized by liquidation of companies, losses for, and closure of financial firms and their intermediaries; and inability of investors to pay debts. Climate risk management is proposed as a solution to adapt to climate change and reduce its associated risks.

scholarly journals Economic Crisis in Europe: Panel Analysis of Inflation, Unemployment and Gross Domestic Product Growth Rates

2017 ◽  
Vol 9 (10) ◽  
pp. 145 ◽  
Author(s):  
Bibi Rouksar-Dussoyea ◽  
Ho Ming-Kang ◽  
Raja Rajeswari ◽  
Benjamin Chan Yin-Fah
Keyword(s):  
Gross Domestic Product ◽  
Growth Rates ◽  
Fixed Effects ◽  
Domestic Product ◽  
Panel Analysis ◽  
Causality Test ◽  
Data Set ◽  
Gross Domestic Product Growth ◽  
European Crisis ◽  
The Relationship

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.

War Making and the Building of State Capacity: Expanding the Bivariate Relationship

2017 ◽  
Author(s):  
Karen A. Rasler ◽  
William R. Thompson
Keyword(s):  
Gross Domestic Product ◽  
Empirical Analysis ◽  
State Capacity ◽  
Point Of View ◽  
Regime Type ◽  
Domestic Product ◽  
Data Set ◽  
Representative Data ◽  
The Relationship ◽  
Do So

A central cleavage in the war making-state making literature is between advocates of the notion that warfare has been the principal path to developing stronger states and critics who argue that the relationship no longer holds, especially in non-European contexts. It is suggested that the problem is simply one of theoretical specification. Increasingly intensive warfare, as manifested in European combat, made states stronger. Less intensive warfare, particularly common after 1945, is less likely to do so. Empirical analysis of a more representative data set on state capacity (revenues as a proportion of gross domestic product [GDP]), focusing on cases since 1870, strongly supports this point of view. The intensiveness of war is not the only factor at work—regime type and win/loss outcomes matter as well—but the relationship does not appear to be constrained by the level of development.

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