International output convergence: evidence from an autocorrelation function approach

This paper uses an autocorrelation function (ACF) approach to develop a new testing procedure for international output convergence. We define convergence in terms of sample ACFs of detrended output per capita, and construct an inference set‐up based on resampling and subsampling techniques for dependent data. Using per capita GDP for 15 OECD countries observed over a century, we find that the hypothesis of conditional convergence is unsupported; that, the USA apart, the linearized neoclassical growth model fails to replicate the transitional dynamics of OECD economies; and that these economies do not behave like a club. Copyright © 2008 John Wiley & Sons, Ltd.     

Does the Composition of Government Expenditure Matter for Long‐Run GDP Levels?

We examine the long‐run GDP impacts of changes in total government expenditure and in the shares of different spending categories for a sample of OECD countries since the 1970s, taking account of methods of financing expenditure changes and possible endogenous relationships. We provide more systematic empirical evidence than available hitherto for OECD countries, obtaining strong evidence that reallocating total spending towards infrastructure and education is positive for long‐run output levels. Reallocating spending towards social welfare (and away from all other expenditure categories pro‐rata) may be associated with modest negative effects on output in the long run.     

THE PREDICTABILITY OF AGGREGATE CONSUMPTION GROWTH IN OECD COUNTRIES: A PANEL DATA ANALYSIS

We examine aggregate consumption growth predictability. We derive a dynamic consumption equation which encompasses relevant predictability factors: habit formation, intertemporal substitution, current income consumption and non‐separabilities between private consumption and both hours worked and government consumption. We estimate this equation for a panel of 15 OECD countries over the period 1972–2007, taking into account parameter heterogeneity, endogeneity and error cross‐sectional dependence using a GMM version of the common correlated effects mean group estimator. Small‐sample properties are demonstrated using Monte Carlo simulations. The estimation results support income growth as the only variable with significant predictive power for aggregate consumption growth. Copyright © 2013 John Wiley & Sons, Ltd.     

The World Technology Frontier: What Can We Learn from the US States?*

We re‐estimate the world technology frontier non‐parametrically using a dataset covering OECD country‐level data and US state‐level data on GDP per worker and the stocks of physical capital, unskilled labour and skilled labour. The auxiliary use of US state‐level data significantly reduces the upward bias in cross‐country estimates of technical efficiency, and so does allowing for imperfect substitutability between skilled and unskilled labour. We then use our adjusted estimate of the world technology frontier in a series of decompositions of productivity differences and sources of economic growth in the OECD in 1970–2000, including also ‘appropriate technology vs. efficiency’ decompositions.     

Environmental taxes,reforms and economic growth: an empirical analysis of panel data

This paper explores the relationship between environmentally related taxes and the economic growth rate. The analysis also investigates whether this relationship differs between countries that have implemented environmental tax reforms (ETRs) and those that have not. Using panel data from 31 OECD countries over the period 1994–2013, the paper finds that when we allow environmentally related tax revenues to interact with an initial level of real GDP per capita, the overall revenues of these taxes are negatively associated with the economic growth rate in the short and long term. Furthermore, we show that the higher the initial level of GDP per capita, the more environmentally related tax revenues can promote the economic growth rate. The analysis also reveals that the relationship between environmentally related tax revenues and economic growth varies between countries that have a mechanism to redistribute environmentally related tax revenues and those that do not.     

Financial innovation and bank growth: The role of institutional environments

This research evaluates the impact of financial innovation on bank growth and how their growth is affected by various dimensions of institutional environments’ interaction with financial innovation. To address these relationships, we use different measures of financial innovation and bank growth from a panel dataset of 40 countries (OECD and non-OECD) over a sample period spanning from 1989 to 2011. There are three main findings herein. First, banks located in countries with a higher level of financial innovation exhibit better growth in assets, loans, and profits. This positive linkage remains highly significant in the subsample without considering the 2007–2008 global financial crisis. Second, bank regulations, financial reforms, and country governance indicators tend to weaken the relationship between financial innovation and bank growth. Third, globalization leans toward strengthening this relationship.     

Productivity, convergence and policy: a study of OECD countries and industries

This paper analyses trends in labour productivity and its underlying determinants in a panel of OECD countries from 1979 to 2002. Data Envelopment Analysis (DEA) is used to estimate a Malmquist measure of multifactor productivity (MFP) change. We decompose the growth in labour productivity into (i) net technological change (ii) input biased technical change (IBTC) (iii) efficiency change and (iv) capital accumulation. We analyse the effect of each of these factors in the transition towards the equilibrium growth paths of both labour productivity and per capita GDP for the OECD countries, controlling for the effects of different policies and institutions. The results indicate that on average gaps in productivity or income levels are narrowing down although there is no evidence to suggest that the entire OECD area comprises a single convergence “club”. Using kernel estimation methods we find that that labour productivity and per capita GDP are settling toward a twin peak (bimodal) distribution. Panel unit root tests over an extended (1960–2001) period provide general support for the convergence hypothesis. Analysis of the contributions of productivity growth within industries and sectoral composition changes show that aggregate productivity change is predominantly driven by ‘net’ within sector effects with very little contribution emerging from sectoral shifts (the ‘in-between’ static or dynamic effects resulting from higher or above average productivity industries gaining employment shares or low productivity industries losing shares).     

Are output growth‐rate distributions fat‐tailed? some evidence from OECD countries

This work explores some distributional properties of aggregate output growth‐rate time series. We show that, in the majority of OECD countries, output growth‐rate distributions are well approximated by symmetric exponential power densities with tails much fatter than those of a Gaussian (but with finite moments of any order). Fat tails robustly emerge in output growth rates independently of: (i) the way we measure aggregate output; (ii) the family of densities employed in the estimation; (iii) the length of time lags used to compute growth rates. We also show that fat tails still characterize output growth‐rate distributions even after one washes away outliers, autocorrelation and heteroscedasticity. Copyright © 2008 John Wiley & Sons, Ltd.     

The Roles of Economic Freedom and Regulatory Quality in Creating a Favorable Environment for Investment in Energy R&D,Infrastructure, and Capacity

Sustainable investment in energy requires a favorable economic and regulatory environment. A random effects model (PLS estimations), using a four‐year panel, reveals the growth rate in real per capita GDP for OECD nations as an increasing function of both economic freedom and regulatory quality. These results underscore the critical roles that economic freedom and regulatory quality play, directly and indirectly, in creating an environment conducive to sustainable investment in energy R&D and infrastructure.     

Smithian National Product and the Wealth of African Nations

Abstract . Given the contemporary interest in growth, conventional measures of economic growth (changes in real GDP or real GDP per capita) may be less preferable than a measure that is more plutological by design. The plutological measure presented in this paper is that of Adam Smith (1776 ). While Smith's work pre‐dated formal national income accounting, there was a macroeconomic accounting scheme implicit in his theorizing on economic growth. This study articulates Adam Smith's concept of national product (referred to as Smithian national product, or SNP). It uses current output data to compute SNP for a set of six African countries, and examines the growth experience of these countries when using SNP as opposed to the more conventional GDP measure.     

CORRUPTION'S DIRECT EFFECTS ON PER‐CAPITA INCOME GROWTH: A META‐ANALYSIS

Corruption is a symptom of weak institutional quality and could have potentially adverse effects on economic growth. However, heterogeneity in reported findings makes it difficult to synthesize the evidence base with a view to test competing hypotheses and/or support evidence‐based policy and practice. To address this issue, we have extracted 327 estimates of corruption's direct effect on per‐capita GDP growth from 29 primary studies, following a peer‐reviewed and pre‐published systematic review protocol. Precision‐effect and funnel asymmetry tests indicate that corruption has a negative effect on per‐capita GDP growth after controlling for publication selection bias and within‐study dependence. However, multivariate meta‐regression analysis results indicate that the overall effect is not robust to inclusion of moderating variables through a general‐to‐specific procedure for model specification. We report that the marginal effect of corruption on per‐capita GDP growth is more adverse when the primary study estimates relate to long‐run growth, are based on low‐income‐country data only, and extracted from journal papers. The effect is less adverse in studies that use the International Country Risk Guide corruption perceptions index and in those reporting estimates from two‐stage least‐squares estimations.     

The Returns to Education: Macroeconomics

We offer an extensive summary and a critical discussion of the empirical literature on the impact of human capital on macro‐economic performance, with a particular focus on UK policy. We also highlight methodological issues and make recommendations for future research priorities.
Taking the studies as a whole, the evidence that human capital increases productivity is compelling, though still largely divided on whether the stock of education affects the long‐run level or growth rate of GDP. A one‐year increase in average education is found to raise the level of output per capita by between three and six percent according to augmented neo‐classical specifications, while leading to an over one percentage point faster growth according to estimates from the new‐growth theories. Still, over the short‐run planning horizon (four years) the empirical estimates of the change in GDP are of similar orders of magnitude in the two approaches. The impact of increases at different levels of education appear to depend on the level of a country's development, with tertiary education being the most important for growth in OECD countries. Education is found to yield additional indirect benefits to growth. More preliminary evidence seems to indicate that type, quality and efficiency of education matter for growth too.     

The Impact of Short‐ and Long‐run Exchange Rate Uncertainty on Investment: A Panel Study of Industrial Countries*

We examine the relationship between aggregate investment and exchange rate uncertainty in the G7, using panel estimation and decomposition of volatility derived from the components generalized autoregressive conditionally heteroscedastic (GARCH) model. Our dynamic panel approach takes account of potential cross‐sectional heterogeneity, which can lead to bias in estimation. We find that for a poolable subsample of European countries, it is the transitory and not the permanent component of volatility which adversely affects investment. To the extent that short‐run uncertainty in the CGARCH model characterizes higher frequency shocks generated by volatile short‐term capital flows, these are most deleterious for investment.     

Does financial development stimulate environmental sustainability? Evidence from a panel study of 115 countries

This paper investigates the moderation effect of financial development (FD) on the environmental Kuznets curve (EKC). Using comprehensive panel data of 115 countries spanning the 1990–2016 period and dividing the countries into different income groups, the researcher found systematic differences in the relationship between significant indicators of environmental degradation and economic growth. More specifically, the interaction effect of FD on the relationship between gross domestic product (GDP) growth and CO₂ emissions are positive; nevertheless, the interaction effect of FD on the relationship between GDP squared and CO₂ emissions become negative for all income groups and therefore supports the EKC. Moreover, the interaction effect of FD is negative on the relationship of GDP with both CH₄ and PM_2.5 emissions in the middle‐income groups, whereas the interaction effect of FD on the relationship between GDP squared and PM_2.5 emissions are negative for the high‐income group. Our results suggest that FD can reduce environmental degradation without adversely impacting on growth.     

A Study of Effective Financial Support for SMEs to Improve Economic and Employment Conditions: Evidence from OECD Countries

Using a panel logit regression model, this study analyzes whether or not five categorized financial supports for small and medium enterprises (SMEs) from the governments of 11 Organization for Economic Cooperation and Development (OECD) countries facilitate economic and employment growth: (1) direct government loans to SMEs; (2) government‐guaranteed loans to SMEs; (3) the reinforcement of relationship banking; (4) financial stability steps to ease pro‐cyclicality; and (5) equity‐linked financing. The academic contribution of this research is in identifying the optimal type of government financial support to SMEs given a country's level of financial crisis and market‐rate level. The main empirical test results are as follows. First, the type of financial support that contributes most to economic and employment growth is the set of steps that governments take to ease pro‐cyclicality. Second, the reinforcement of relationship banking can also contribute to improved economic and employment conditions. Third, in less capital‐intensive countries, the results confirm that economic and employment improvement occurs more often if equity‐linked financing is used. Fourth, the adoption of dynamic loan‐loss provisions to prepare for periods of economic recession is necessary to reduce the pro‐cyclicality of SME loans within the 11 OECD countries studied in this paper; it is also necessary to transition from a persistent monetary‐easing policy stance to a flexible monetary stance within a country's fiscal policy in order to make commercial banks benefit from an incentive‐like risk premium for SME loans despite the existence of economic recessions. Finally, the study finds that the need to apply equity‐linked financing methods through the stock market is especially urgent in developing countries. As the managerial perspectives, it is confirmed that easing pro‐cyclicality of SME loan and enhancing banking relationship can contribute to SMEs fund management. Copyright © 2017 John Wiley & Sons, Ltd.     

Economic transition and growth

Some extensions of neoclassical growth models are discussed that allow for cross‐section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady‐state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative regression methods for analyzing economic transition are given which lead to a new test of the convergence hypothesis and a new procedure for detecting club convergence clusters. Transition curves for individual economies and subgroups of economies are estimated in a series of empirical applications of the methods to regional US data, OECD data and Penn World Table data. Copyright © 2009 John Wiley & Sons, Ltd.     

TECHNOLOGICAL INNOVATION AND EMPLOYMENT IN DERIVED LABOUR DEMAND MODELS: A HIERARCHICAL META‐REGRESSION ANALYSIS

The effect of technological innovation on employment is of major concern for workers and their unions, policy makers and academic researchers. We meta‐analyse 570 estimates from 35 primary studies that estimate a derived labour demand model. We contribute to existing attempts at evidence synthesis by addressing the risks of selection bias and that of data dependence in observational studies. Our findings indicate that: (i) hierarchical meta‐regression models are sufficiently versatile for addressing both selection bias and data dependence in observational data; (ii) innovation's effect on employment is positive but small and highly heterogeneous; (iii) only a small part of residual heterogeneity is explained by moderating factors; (iv) selection bias tends to reflect preference for upholding prevalent hypotheses on the employment effects of process and product innovations; (v) country‐specific effect‐size estimates are related to labour market and product market regulation in six OECD countries in a U‐shaped fashion; and (vi) OLS estimates reflect upward bias whereas those based on time‐differenced or within estimators reflect a downward bias. Our findings point out to a range of data quality and modelling issues that should be addressed in future research.     

Economies in Transition: How Important Is Trade Openness for Growth?*

We investigate the effect of trade openness on economic growth in transition countries using a transparent statistical methodology that leads to data‐driven case studies. In particular, we employ synthetic control methods in a panel of transition economies and compare GDP growth in treated (that is, open) countries with growth in a convex combination of similar but untreated (that is, closed) countries. We find that trade liberalization tends to have a positive effect on the pattern of real GDP per capita. One of our most robust results shows that making the transition without opening up to trade considerably hampers growth.     

Extremal Dependence in International Output Growth: Tales from the Tails

This article explores the comovement of the economic activity of several OECD countries during periods of large negative and positive growth. Extremal dependence measures are here applied to assess the degree of cross‐country tail dependence of output growth rates. Our main empirical findings are: (i) cross‐country tail dependence is much stronger during periods of large negative growth, than during the ones of large positive growth; (ii) cross‐country growth is asymptotically independent; (iii) cross‐country tail dependence is considerably stronger than the one arising from a Gaussian dependence model. In addition, our results suggest that, among the typical determinants for explaining international output growth synchronization, only economic specialization similarity seems to play a role during such extreme periods.     

Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.