Commodity Price Volatility and the Sources of Growth

This paper studies the impact of the growth and volatility of commodity terms of trade (CToT) on economic growth, total factor productivity, physical capital accumulation and human capital acquisition. We use the standard system generalized methods of moments (GMM) approach as well as the dynamic common correlated effects pooled mean group (CCEPMG) methodology for estimation to account for cross‐country heterogeneity, cross‐sectional dependence and feedback effects. Using both annual data for 1970–2007 and 5‐year non‐overlapping observations, we find that while CToT growth enhances real output per capita, CToT volatility exerts a negative impact on economic growth operating mainly through lower accumulation of physical and human capital. Productivity, however, is not affected by either the growth or the volatility of CToT. Our results also indicate that the negative growth effects of CToT volatility offset the positive impact of commodity booms. Therefore, we argue that volatility, rather than abundance per se, drives the ‘resource curse’ paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

THE GROWTH AFTERMATH OF NATURAL DISASTERS

This paper traces the yearly response of gross domestic product growth—both aggregated and disaggregated into its agricultural and non‐agricultural components—to four types of natural disasters: droughts, floods, earthquakes, and storms. The paper uses a methodological approach based on pooling the experiences of various countries over time. It consists of vector autoregressions in the presence of endogenous variables and exogenous shocks (VARX), applied to a panel of cross‐country and time series data. The analysis finds heterogeneous effects on a variety of dimensions. First, the effects of natural disasters are stronger on developing than on advanced countries. Second, not all natural disasters are alike in terms of the growth response they induce, and some can even have positive effects on economic growth. Third, severe disasters often carry much worse effects than moderate effects do. Fourth, the timing of the growth response varies with both the type of natural disaster and the sector of economic activity. Copyright © 2011 John Wiley & Sons, Ltd.     

Efficient estimation of factor models with time and cross‐sectional dependence

This paper studies the efficient estimation of large‐dimensional factor models with both time and cross‐sectional dependence assuming (N,T) separability of the covariance matrix. The asymptotic distribution of the estimator of the factor and factor‐loading space under factor stationarity is derived and compared to that of the principal component (PC) estimator. The paper also considers the case when factors exhibit a unit root. We provide feasible estimators and show in a simulation study that they are more efficient than the PC estimator in finite samples. In application, the estimation procedure is employed to estimate the Lee–Carter model and life expectancy is forecast. The Dutch gender gap is explored and the relationship between life expectancy and the level of economic development is examined in a cross‐country comparison.     

SALES,INVENTORIES AND REAL INTEREST RATES: A CENTURY OF STYLIZED FACTS

We use Bayesian time‐varying parameter structural vector autoregressions with stochastic volatility to investigate changes in reduced‐form and structural correlations between inventories and either sales growth or the real interest rate in the USA during both the inter‐war and post‐World War II periods. We identify four structural shocks by combining a single long‐run restriction to identify a permanent output shock with three sign restrictions to identify demand‐ and supply‐side transitory shocks. We show that during both the inter‐war and post‐war periods the structural correlation between inventories and real interest rate conditional on identified interest rate shocks is systematically positive; the reduced‐form correlation between the two series is positive during the post‐war period, but in line with the predictions of theory it is robustly negative during the inter‐war era; during that era the correlations between inventories and either of the two other series exhibit a remarkably strong co‐movement with output at business cycle frequencies. Copyright © 2014 John Wiley & Sons, Ltd.     

Environmentally Sustainable Development through Stakeholder Engagement in Developed and Emerging Countries

This cross‐country study investigates the antecedents and outcomes of corporate environmental responsibility (CER) practices in developed and emerging countries. Based on stakeholder and institutional theory, we conducted an empirical study among firms in Germany, USA, India and China. We found support for a significant positive relationship between regulatory, market and social stakeholder influences, CER practices and business outcomes in the total and individual country samples. Regarding country differences, our data reveal significant similarities and differences between developed and emerging countries. Market stakeholder influences are stronger in developed countries, whereas regulatory and social stakeholder influences do not differ significantly between the two country groups. The relationship between CER practices and positive business outcomes is stronger in emerging than in developed countries. Implications for institutional theory and organizations are outlined. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Is deflation costly after all? The perils of erroneous historical classifications

I estimate average economic activity during periods of inflation and deflation while accounting for measurement errors in 19th century prices. These measurement errors lead to underestimation (overestimation) of economic activity during periods of inflation (deflation). By exploiting multiple deflation indicators, it is possible to recover the true relationship; the shortfall of US industrial production growth during periods of deflation ranges from −4.5 pp to −7.6 pp, instead of −2 pp. I also find a negative relationship between deflation and real activity in the UK. I then examine the cross-country variation in the estimates for eleven countries. The patterns are consistent with stronger biases for countries with more serious measurement errors in prices.     

Capital accumulation and growth: a new look at the empirical evidence

Using annual data for 75 countries in the period 1960–2000, we present evidence of a positive relationship between investment as a share of gross domestic product (GDP) and the long‐run growth rate of GDP per worker. This result is robust for our full sample and for the subsample of non‐OECD countries, but not for the subsample of OECD countries. Our analysis controls for time‐invariant country‐specific heterogeneity in growth rates, and for a range of time‐varying control variables. We also address endogeneity issues, and allow for heterogeneity across countries in model parameters and for cross‐section dependence. Copyright © 2010 John Wiley & Sons, Ltd.     

The conditional dependence structure of insurance sector credit default swap indices

This study assesses the dependence structure of insurance sector credit default swap indices, using a copula-GARCH approach. We use daily data of the US, EU, and UK insurance sectors, covering the period from January 2004 to June 2013. We find substantial increases in dependence during the financial crisis periods. Prior to the crises, various copulas are found to best fit each pair; specifically, asymmetric tail dependence is found for the UK–US pair, suggesting the possibility of large simultaneous losses. However, during the crisis periods, the Frank copula fits best, with no significant tail dependence detected, implying low systemic risks.     

Jointness of growth determinants

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance, jointness reveals generally unknown forms of dependence. Positive jointness implies that regressors are complements, representing distinct but mutually reinforcing effects. Negative jointness implies that explanatory variables are substitutes and capture similar underlying effects. In a cross‐country dataset we show that jointness among 67 determinants of growth is important, affecting inference and informing economic policy. Copyright © 2009 John Wiley & Sons, Ltd.     

Macroeconomic effects of aggregate accounting conservatism: A cross‐country analysis

This paper examines whether aggregate conditional and unconditional conservatism are associated with economic growth. Prior studies find that conditional conservatism improves contracting efficiency, but that unconditional conservatism has either a neutral or detrimental impact on contracting. We therefore conjecture that country‐level conditional conservatism increases the efficiency of resource allocation in an economy, whereas country‐level unconditional conservatism is not similarly beneficial. Using a cross‐country sample, we construct country‐level estimates of conditional and unconditional conservatism. We find that conditional conservatism is associated with higher level of growth in Gross Domestic Product and Gross Domestic Product per Capita. By contrast, unconditional conservatism shows no or negative association. Our study contributes to the ongoing debate on the desirability of accounting conservatism and also extends the literature on the macroeconomic effects of aggregate financial reporting attributes.     

Are the interdependence characteristics of the US and Canadian energy equity sectors nonlinear and asymmetric?

Nonlinear, symmetric, and asymmetric dependence characteristics in energy equity sectors matter to portfolio investors and risk managers because of the risks and diversification opportunities they entail. Specifically, nonlinear dependence dynamics between assets are harder to predict, monitor, and manage, and can make investment positions go wrong unexpectedly. In this paper, we investigate whether the dependence dynamics of US and Canadian large-capitalized energy equity portfolios are nonlinear, symmetric, or asymmetric. We draw our results by implementing a robust copula approach based on time-varying parameter copulas and vine copula methods. Both time varying parameter and vine-copula methods indicate that the Canadian energy sector portfolio is driven by nonlinear negative tail asymmetric dependence during the global financial crisis and when the full sample period is employed. On the other hand, it displays nonlinear symmetric dependence during the oil price crisis, implying the need for close monitoring and rebalancing and a more continuous assessment of long investment positions. The US energy sector portfolio is driven by positive tail asymmetric dependence, and by symmetric dependence dynamics during crisis and non-crisis periods.     

Secular stagnation – are we stuck in Summers' long winter?

• We estimate that the UK has a relatively large output gap of around 2¾% of potential output. With the legacy of the financial crisis fading, the UK should see healthy growth in potential output of around 2.1% a year from 2015–24. Usually this would drive a period of strong economic growth, but we expect GDP growth to average a relatively underwhelming 2.4% a year over this period, largely due to the drag from aggressive fiscal consolidation.
• There is significant disagreement amongst economists about the size of the output gap. Estimation of the output gap has been problematic since the financial crisis because of the depth of the recession and relatively slow pace of the subsequent recovery, while sizeable revisions to the national accounts data have been an added complication. Our estimate of the output gap is towards the top of the range of independent forecasters surveyed by HM Treasury, but it is consistent with the literature on the impact of financial crises on potential output.
• We expect potential output growth of 2.1% a year from 2015–24, a faster pace than that seen since the financial crisis, but some way short of the experience of the pre‐crisis decade. The shortfall relative to the pre‐crisis period is largely due to a smaller contribution from growth in labour supply, which reflects the impact of an ageing population. However, labour is set to make a much stronger contribution to potential output growth in the UK than in most other major European countries over the next decade.
• The combination of a large output gap and healthy growth in potential output will provide the conditions for firm growth and low inflation over the medium term, with GDP growth expected to average 2.4% a year from 2015 to 2024. Growth could be stronger were it not for the sizeable drag from fiscal consolidation over the next four years and the dampening effect that this will have on activity. This will ensure that the output gap closes very slowly. The government's fiscal plans are heavily influenced by the OBR's view that there is limited scope for stronger growth to drive an improvement in the public finances. But if our view turns out to be correct, it will become apparent that the government has pursued a more austere path than is strictly necessary in order to comply with its fiscal rules.

     

An analysis of dependence between Central and Eastern European stock markets

We examine the dependence structure between four Central and Eastern European (CEE) stock markets (Czech Republic, Hungary, Poland and Romania) using static and dynamic copula functions with different forms of tail dependence. We find evidence of positive dependence between all CEE stock markets, although this dependence is stronger between the Hungarian, Czech and Polish markets than between these markets and the Romanian market. We also find evidence of symmetric tail dependence, although not for the Hungarian and Czech markets. The dependence is time-varying and intensified after the onset of the recent global financial crisis. These results confirm that CEE stock markets are gradually coupling, a fact that has risk management implications for policymakers and investors.     

Growth vs. level effect of population change on economic development: An inspection into human-capital-related mechanisms

This paper studies the different mechanisms and the dynamics through which demography is channeled to the economy. We analyze the role of demographic changes in the economic development process by studying the transitional and the long-run impact of both the rate of population growth and the initial population size on the levels of per capita human capital and income. We do that in an enlarged Lucas–Uzawa model with intergenerational altruism. In contrast to the existing theoretical literature, the long-run level effects of demographic changes, i.e. their impact on the levels of the variables along the balanced growth path, are deeply characterized in addition to the more standard long-run growth effects. We prove that the level effect of the population rate of growth is non-negative (positive in the empirically most relevant case) for the average level of human capital, but a priori ambiguous for the level of per capita income due to the interaction of three transmission mechanisms of demographic shocks, a standard one (dilution) and two non-standard (altruism and human capital accumulation). Overall, the sign of the level effects of population growth depends on preference and technology parameters, but numerically we show that the joint negative effect of dilution and altruism is always stronger than the induced positive human capital effect. The growth effect of population growth depends basically on the attitude to intergenerational altruism and intertemporal substitution. Moreover, we also prove that the long-run level effects of population size on per capita human capital and income may be negative, nil, or positive, depending on the relationship between preferences and technology, while its growth effect is zero. Finally, we show that the model is able to replicate complicated time relationships between economic and demographic changes. In particular, it entails a negative effect of population growth on per capita income, which dominates in the initial periods, and a positive effect which restores a positive correlation between population growth and economic performance in the long term.     

ECONOMETRICS FOR GRUMBLERS: A NEW LOOK AT THE LITERATURE ON CROSS‐COUNTRY GROWTH EMPIRICS

Abstract Since the seminal contribution of N. Gregory Mankiw, David Romer and David N. Weil in 1992 the growth empirics literature has used increasingly sophisticated methods to select relevant growth determinants in estimating cross‐section growth regressions. The vast majority of empirical approaches, however, limit cross‐country heterogeneity in production technology to the specification of total factor productivity, the ‘measure of our ignorance’. In this survey, we present two general empirical frameworks for cross‐country growth and productivity analysis and demonstrate that they encompass the various approaches in the growth empirics literature of the past two decades. We then develop our central argument, that cross‐country heterogeneity in the impact of observables and unobservables on output as well as the time‐series properties of the data are important for reliable empirical analysis.     

MODELLING LARGE OPEN ECONOMIES WITH INTERNATIONAL LINKAGES: THE USA AND EURO AREA

Empirical modelling of the linkages between the euro area and the USA requires an open economy framework. The methodology proposed in this paper achieves identification of a structural vector error correction model by supplementing restrictions from economic theory with assumptions for the direction of causality in cross‐country contemporaneous relationships. Our baseline model assumes contemporaneous causality runs from the USA to the euro area for both output and inflation, with monetary policy domestically focused. The role of the USA as leading the euro area business cycle is reinforced by our results, but strong bidirectional cross‐country interactions are uncovered for inflation and interest rates. Copyright © 2013 John Wiley & Sons, Ltd.     

Internal and external restructuring over the cycle: a firm-based analysis of gross flows and productivity growth in Portugal

This paper discusses the role played by internal restructuring vis-à-vis external restructuring in industry productivity growth, arguing that the contribution of these two components is expected to be sensitive to the economic cycle. The study describes gross flows (job and output) over a period of one decade, and analyses the productivity differential among continuing, entering and exiting firms in the Portuguese manufacturing sector. The results of the decomposition of industry productivity growth suggest that the share of external restructuring is stronger in recession, while internal restructuring seems to be predominant in expansion. The strong and positive contribution of the net entry effect, in 1991–1994, was not followed by any between and cross effects of equivalent magnitude in the 1994–1997 sub-period. The within effect is, as expected, stronger when output growth is at its peak, but in no case large enough to turn productivity growth procyclical.

A PANEL DATA APPROACH FOR PROGRAM EVALUATION: MEASURING THE BENEFITS OF POLITICAL AND ECONOMIC INTEGRATION OF HONG KONG WITH MAINLAND CHINA

We propose a simple‐to‐implement panel data method to evaluate the impacts of social policy. The basic idea is to exploit the dependence among cross‐sectional units to construct the counterfactuals. The cross‐sectional correlations are attributed to the presence of some (unobserved) common factors. However, instead of trying to estimate the unobserved factors, we propose to use observed data. We use a panel of 24 countries to evaluate the impact of political and economic integration of Hong Kong with mainland China. We find that the political integration hardly had any impact on the growth of the Hong Kong economy. However, the economic integration has raised Hong Kong's annual real GDP by about 4%. Copyright © 2011 John Wiley & Sons, Ltd.     

Financial Risk Propensity,Business Cycles and Perceived Risk Exposure

We analyse whether individual financial risk propensity changes over time with background financial conditions, as well as personal and subjective portfolio risk exposure. We elicit risk propensity from six different self‐assessed facets collected in a long panel data set from the DNB Household Survey, annually covering the period 1995–2015. Risk propensity is generally higher during periods of economic growth and lower during periods of recession, but is untrended when elicited, using questions referring to safe investments. Our risk propensity measure is also higher following positive stock market returns or subjectively large risk exposure in own past investments.     

Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s*

In this paper we use the Kumar and Russell [American Economic Review (2002) Vol. 92, pp. 527–548] growth‐accounting procedure to examine cross‐country growth during the 1990s. Using a data set comprising developed, newly industrialized, developing and transitional economies, we decompose the growth of output per worker into components attributable to technological catch‐up, technological change and capital accumulation. In contrast to the study by Kumar and Russell, which concludes that capital deepening is the major force of growth and change in the world income per worker distribution over the 1965–90 period, our analysis shows that, during the 1990s, the major force in the further divergence of the rich and the poor is due to technological change, whereas capital accumulation plays a lesser and opposite role. Finally, although on average we find that transitional economies perform similar to the rest of the world, the procedure is able to discover some interesting patterns within the set of transitional countries.