Exploring GDP growth volatility spillovers across countries

This study takes a portfolio approach to investigate GDP growth volatility spillovers among 120 countries of the world during the 1960–2017 period. Based on the ratios of growth rate to standard deviation, we rank these countries in pools of high-, midsize-, and low-income growth. Using a spillover index that is based on variance decompositions under a vector autoregressive framework, we analyze the sources of growth volatility dynamics in the world in terms of volatility proportions from and to others. We find that high-income growth countries are net transmitters, while low-income growth countries are net recipients of growth volatility. We also find that it takes several years for low-income growth countries to absorb growth shocks of global nature. Overall, our analyses illustrate the importance of partnership in risk sharing as it is related to portfolio strategies and risk management.     

Government expenditure and economic growth: evidence from G7 countries

This paper examines Wagner's Law of Public Expenditure, which emphasizes economic growth as the fundamental determinant of public sector growth, using time series data drawn from the G7 industrialized countries over the sample period 1960 1993. It presents evidence on both the short- and long-run effects of growth in national income on government expenditure by resorting to recent developments in the theory of cointegrated processes. An attempt is also made in this study to examine if Wagner's Law holds between certain key components of government expenditure and income.     

Economic policy uncertainty and real output: evidence from the G7 countries

We use economic policy uncertainty index, and impulse response based test to assess the impact of economic policy-related uncertainty on real economic activity. We use monthly data, over the period from 1985:1 to 2015:3, and impulse response functions to investigate how the economies of the G7 countries respond to positive and negative economic policy uncertainty shocks of different magnitudes. We find that economic policy uncertainty is countercyclical, that the effects of uncertainty shocks increase with size and that the responses of real output to positive and negative economic policy uncertainty shocks are country specific. Our research is important for policymaking and in favour of policies that remove economic uncertainty and its negative effects on the economy. We argue that some control over yellow journalism, a transparent tax system and a set of predictable fiscal and monetary policies can minimize the social costs of economic policy uncertainty.     

Housing market volatility connectedness among G7 countries

This study investigates international linkages among housing markets in the G7 countries, using the connectedness methodology developed in Diebold and Yilmaz (2012, 2015). We find that volatility connectedness varies over the business cycle, with a surge during the global financial crisis. We also show that the United States and Italy were major net transmitters of housing market volatility shocks to other countries during the global financial crisis and the European debt crisis, respectively.     

Money and prices: evidence from the G7 countries

This paper examines the exogeneity of money and prices within a money demand vector error-correction model. The exogeneity of the variables is central to several ‘buffer stock’ models. However, the paper makes two modifications to the traditional approach. The first is to explicitly acknowledge the importance of the supply of money function by including the function alongside its demand counterpart. The second is to estimate the behaviour of the nominal sector and real sector simultaneously. Overall, the results from the G7 countries suggest that the concerns raised by ‘buffer stock’ models are relevant.     

The impact of output and exchange rate volatility on fixed private investment: evidence from selected G7 countries

This study examines the impact of shocks to exchange rate and output uncertainty (volatility) on real private fixed investment (FI) in Canada, Germany, the United Kingdom and the United States. The analysis is conducted using vector autoregressive models that contain the price level, real output, the volatility of real output, the real exchange rate, the volatility of the real exchange rate, an interest rate and FI. The results yield important public policy implications with regard to the impact of output volatility of FI. Our analysis indicates that volatility shocks, measured as output volatility or exchange rate volatility, do not have a significant impact on FI for any country in our study.     

The causal relationship between natural gas consumption and economic growth: evidence from the G7 countries

This article re-examines the nature of the causality between natural gas consumption and economic growth in G7 countries over the period from 1965 to 2011. We employ the Granger causality procedure proposed by Emirmahmutoglu and Kose (2011) which takes into account cross-sectional dependency and heterogeneity across countries. Our overall empirical results support the neutrality hypothesis for the panel while the individual country results confirm the same result with the exception of the case of UK, where the conservation hypothesis is confirmed, showing that GDP causes natural gas consumption in the country. These results make policies that promote the consumption of natural gas risk-free with regard to their effects to the economic growth and development levels.     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.     

Research output and economic growth in G7 countries: new evidence from asymmetric panel causality testing

Recent studies have shown increasing interest on the relationship between research output and economic growth. The study of such a relationship is not only of theoretical interest, but it can also influence specific policies to improve the quality, and probably the quantity of research output. This article has studied this relationship in G7 countries using the asymmetric panel causality test of Hatemi-J (2011). Our results show that only the UK shows a causal relationship from the output of research to real GDP. However, when the signs of variations are taken into account, there is an asymmetric causality running from negative research output shocks to negative real GDP shocks.     

Nonlinear economic growth: Some theory and cross-country evidence

This paper aims to test the existence of different growth regimes, that is of different relationships between growth rate and income level. We propose a simple nonlinear growth model and test its empirical implications by estimating Markov transition matrices and stochastic kernels. We show that growth is indeed nonlinear: a first phase of slow or zero growth is followed by a take-off and, finally, by a phase of deceleration. We discuss the relevance of these results with respect to the issue of convergence and reversibility of development, in the light of models of structural change and technological diffusion.     

Testing for fiscal sustainability: New evidence from the G-7 and some European countries

Whether or not a government deficit is sustainable has important implications for policy. If the debt of a nation is sustainable, then it implies that the government should have no incentive to default on its internal debt. In this article we examine whether or not the debt-GDP ratios of the G-7 and some European countries can be characterized by a unit root process with the non-linear trend and asymmetric adjustment. The econometric methodology allows us to determine whether the stationarity holds for the government's debt–GDP ratio after considering the non-linear trend. Among the main results, it is found that it is very likely that the debt–GDP ratios of Canada, Germany, the US and Italy are stationarity after taking account of the non-linear trend in the long run. Nevertheless, it is model-dependent for the debt–GDP ratios of these countries to be asymmetrically adjusted after taking the non-linear trend into consideration.     

Further evidence on business cycle asymmetries in G7 countries

This paper tests for business cycle symmetry in G7 countries during the post-World War II period using a number of tests, each reflecting alternative definitions of business cycle asymmetry. The tests are applied to monthly coincident economic indicators of business cycles. This found that business cycles in the US are characterized by both longitudinal (deepness) and transversal (steepness and sharpness) asymmetries: further, it is found that asymmetric transition probabilties and time irreversibility are due to nonlinearities. On the contrary, business cycles in Germany exhibits a symmetric behaviour. Between these extremes are the other countries, for which at least one of the tests here considered rejects the null of cyclical symmetry. Particularly, business cycle is characterized by deepness and sharpness in Canada, asymmetry in persistence in France and Japan, and asymmetric transition probabilities in France and United Kingdom.     

Research publications and economic growth: evidence from cross-country regressions

The effects of the quality of tertiary education on economic growth have been examined across countries. Professors’ research publication is used as a proxy for the quality of education at the university level. Research outputs in basic science and engineering are found to have a positive and significant effect on economic growth. Economics and business research also have immediate growth effects although the effects are a bit smaller. The results are, in general, consistent with the findings in the growth literature. The convergence hypothesis is also supported by the data.     

On competing theories of economic growth: cross-country evidence

In the recent literature on economic growth, four approaches compete to explain growth trends in per capita GDP of the world set of countries: (1) the Solovian approach; (2) the New Theory of Endogenous Growth; (3) the Abramovitz–Baumol ‘catching up’ approach; (4) the Kaldor approach of increasing returns and cumulative causation. Approaches (3) and (4) are formalized here in a single model and then tested against approaches (1) and (2) on a common database and sample of countries. The main conclusions are the following: that labour is not the limiting factor on growth, as implied by (1) and (2); that catching up is an important and a non-declining process; that increasing returns to output rather than to capital are very important and accelerate the catch-up with the US trend; that a lack of social capabilities and technological push may reverse catching up into falling behind with respect to the US productivity level; and that the pattern of growth changes between 1960–73 and 1973–88 because physical investment becomes less important while R&D becomes more important, and because cumulative causation through export growth ceases.     

Exchange rate volatility and international trade: International evidence from the MINT countries

This paper examines the effect of exchange rate volatility on international trade volumes for Mexico, Indonesia, Nigeria, and Turkey. We use volatility predicted from GARCH models for both nominal and real effective exchange rate data. To detect the long-term relationship we use the autoregressive distributed lag (ARDL) bound testing approach, while for the short-term effects, Granger causality models are employed. The results show that, in the long term, there is no linkage between exchange rate volatility and international trade activities except for Turkey, and even in this case, the magnitude of the effect of volatility is quite small. In the short term, however, a significant causal relationship from volatility to import/export demand is detected for Indonesia and Mexico. In the case of Nigeria, unidirectional causality from export demand to volatility is found, while for Turkey, no causality between volatility and import/export demand is detected.     

Economic uncertainty and corruption: evidence from a large cross-country data set

A vast amount of research has considered numerous causes and correlates of corruption. Also, there have been many studies of the consequences of various forms of uncertainty. However, exploration of the nexus between economic uncertainty and corruption appears scarce. After providing an intuitive and heuristic linkage between general economic uncertainty and corruption, this article uses a large cross-country data set to augment a fairly standard model with simple proxies for uncertainty and to investigate how economic uncertainty might affect the prevalence of corruption. In addition, a quantile-regression framework is used to judge how the strength of various covariates may differ with the level of corruption. Seven main points emerge from the estimates. First, economic uncertainty is associated positively with corruption, and the relation seems to be robust across measures of uncertainty and corruption. Second, quantile-regression estimates indicate considerable parametric heterogeneity across the distribution of corruption. Third, Gross Domestic Product (GDP) per capita has the expected corruption-mitigating role. Fourth, increased political rights and civil liberties also appear to lower corruption. Fifth, greater government consumption is associated with lower corruption. Sixth, while the hyperinflation dummy lacks significance in most OLS regressions, its significance varies across the distribution of corruption. Seventh, neither police force nor government subsidies shows significance, but transition economies have more corruption.     

Economic policy uncertainty and the Chinese stock market volatility: Novel evidence

In this study, we investigate the impact of global economic policy uncertainty (GEPU) on Chinese stock market volatility. More importantly, for the first time, we explore the effects of directional GEPU based on the changing directions of GEPU and Chinese economic policy uncertainty (EPU). We make several noteworthy findings. First, the in-sample estimated results show that up and down GEPU can lead to substantially high stock market volatility for China. Second, the out-of-sample estimated results support the contention that the GEPU index is helpful for predicting volatility. Moreover, compared to GEPU alone, directional GEPU can provide more useful information that can increase the forecast accuracy. Third, we empirically find that directional GEPU is more effective in predicting Chinese stock market volatility when GEPU and EPU rise in the same month.     

Economic policy uncertainty and the Chinese stock market volatility: new evidence

This study investigates the impacts of the economic policy uncertainty (EPU) indexes of China and the G7 countries on Chinese stock market volatility and further constructs a new diffusion index based on these indexes using principal component analysis (PCA) to achieve enhanced predictive ability. The in-sample results indicate that the EPU indexes of China and some of the G7 countries show a significantly negative impact on future volatility. Moreover, our constructed diffusion index also has a significantly negative impact. Furthermore, the out-of-sample results show that this diffusion index exhibits a significantly higher forecast accuracy than the EPU itself and combination forecasts. Finally, various robustness checks are consistent with our main conclusions. Overall, we construct a new and useful indicator that can substantially increase forecast accuracy with respect to the Chinese stock market.