ECONOMETRIC MODELS OF ASYMMETRIC PRICE TRANSMISSION

Abstract In this paper, we review the existing empirical literature on price asymmetries in commodities, providing a way to classify and compare different studies that are highly heterogeneous in terms of econometric models, type of asymmetries and empirical findings. Relative to the previous literature, this paper is novel in several respects. First, it presents a detailed and updated survey of the existing empirical contributions on price asymmetries in the transmission mechanism linking input prices to output prices. Second, this paper presents an extension of the traditional distinction between long‐run and short‐run asymmetries to new categories of asymmetries, such as: contemporaneous impact, distributed lag effect, cumulated impact, reaction time, equilibrium and momentum equilibrium adjustment path, regime effect, regime equilibrium adjustment path. Each empirical study is then critically discussed in the light of this new classification of asymmetries. Third, this paper evaluates the relative merits of the most popular econometric models for price asymmetries, namely autoregressive distributed lags, partial adjustments, error correction models, regime switching and vector autoregressive models. Finally, we use the meta‐regression analysis to investigate whether the results of asymmetry tests are not model‐invariant and find which additional factors systematically influence the rejection of the null hypothesis of symmetric price adjustment. The main results of our survey can be summarized as follows: (i) each econometric model is specialized to capture a subset of asymmetries; (ii) each asymmetry is better investigated by a subset of econometric models; (iii) the general significance of the F test for asymmetric price transmission depends mainly on characteristics of the data, dynamic specification of the econometric model, and market characteristics. Overall, our empirical findings confirm that asymmetry, in all its forms, is very likely to occur in a wide range of markets and econometric models.     

Social networks and labour productivity in Europe: an empirical investigation

This paper uses firm-level data recorded in the Amadeus database to investigate the distribution of labour productivity in different European countries. We find that the upper tail of the empirical productivity distributions follows a decaying power-law, whose exponent α is obtained by a semi-parametric estimation technique recently developed by Clementi et al. [Physica A 370(1):49–53, 2006]. The emergence of “fat tails” in productivity distribution has already been detected in Di Matteo et al. [Eur Phys J B 47(3):459–466, 2005] and explained by means of a model of social network. Here we show that this model is tested on a broader sample of countries having different patterns of social network structure. These different social attitudes, measured using a social capital indicator, reflect in the power-law exponent estimates, verifying in this way the existence of linkages among firms’ productivity performance and social network.     

What Sparks Ethical Decision Making? The Interplay Between Moral Intuition and Moral Reasoning: Lessons from the Scholastic Doctrine

There has been limited coverage of the corporate responsibility (CR) practices of small and medium-sized enterprises (SMEs) in the mainstream CR literature. Furthermore, there has been no systematic analysis of the responsibilities of the high value jewellery industry and jewellery SMEs in particular. This study explores the potential for harm and value creation by individual stakeholders in fine jewellery production. Using the harm chain and institutional theory to frame our investigation, we seek to understand how small businesses within the fine jewellery industry respond to the economic, social and environmental challenges associated with responsible jewellery production, and to investigate how they perceive and negotiate the tensions between responsibility and the resistance derived from the operational norms of secrecy and autonomy within the industry. Our exploratory research provides illustrative examples of how complex harm networks operate within and across the fine jewellery industry, and demonstrates the inter-relationships that exist across the different stages of the fine jewellery harm chain. Findings suggest that institutional forces are coalescing towards a more responsible agenda for the fine jewellery industry. Moreover, while CR is a tool to disrupt harmful institutional norms and practices within such an industry, it requires the co-creation of new transformative business models and multi-stakeholder involvement including firms (SMEs and MNEs), trade associations, non-governmental organisations and consumers. Solutions include national and international legislation, price adjusted certification routes for small firms, harmonisation of industry CR standards to reduce overlap in certification and regulation and gem and precious metal “track and trace” schemes.     

Do Euro Area Countries Respond Asymmetrically to the Common Monetary Policy?

We investigate the possible existence of asymmetries among Euro Area countries reactions to the European Central Bank monetary policy. Our analysis is based on a Structural Dynamic Factor model estimated on a large panel of Euro Area quarterly variables. Although the introduction of the euro has changed the monetary transmission mechanism in the individual countries towards a more homogeneous response, we find that differences still remain between North and South Europe in terms of prices and unemployment. These results are the consequence of country‐specific structures, rather than of European Central Bank policies.     

Disease and development: The role of life expectancy reconsidered

This note estimates the causal effect of life expectancy on per capita income and tests the hypothesis of a non-monotonic effect using finite mixture models. The results confirm the hypothesis and qualify recent evidence for a negative effect by Acemoglu and Johnson (2007).     

Long‐run relations in European electricity prices

This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of a robust multivariate long‐run dynamic analysis reveal the presence of four highly integrated central European markets (France, Germany, the Netherlands and Austria). The trend shared by these four electricity markets appears to be common also to gas prices, but not to oil prices. The existence of a common long‐term dynamics among electricity prices and between electricity prices and gas prices can be explained by the similarity of the market design across Europe and by the same marginal generation technology. Since standard unit root and cointegration tests are not robust to the peculiar characteristics of electricity prices time series, we also develop a battery of robust inference procedures that should assure the reliability of our results. Copyright © 2009 John Wiley & Sons, Ltd.     

The distribution of household consumption-expenditure budget shares

This paper explores the statistical properties of household consumption-expenditure budget share distributions – defined as the share of household total expenditure spent for purchasing a specific category of commodities – for a large sample of Italian households in the period 1989–2004. We find that household budget share distributions are fairly stable over time for each specific category, but profoundly heterogeneous across commodity categories. We then derive a parametric density that is able to satisfactorily characterize (from a univariate perspective) household budget share distributions and: (i) is consistent with the observed statistical properties of the underlying levels of household consumption-expenditure distributions; (ii) can accommodate the observed across-category heterogeneity in household budget-share distributions. Finally, we taxonomize commodity categories according to the estimated parameters of the proposed density. We show that the resulting classification is consistent with the traditional economic scheme that labels commodities as necessary, luxury or inferior.     

The effect of taxes on multinational debt location

We provide new evidence that differences in international tax rates and tax regimes affect multinational firms' debt location decisions. Our sample contains 8287 debt issues from 2437 firms headquartered in 23 different countries with debt-issuing subsidiaries in 59 countries. We analyze firms' marginal decisions of where to issue debt to investigate the influence of a comprehensive set of tax-related effects, including differences in personal and corporate tax rates, tax credit and exemption systems, and bi-lateral cross-country withholding taxes on interest and dividend payments. Our results show that differences in personal and corporate tax rates, the presence of dividend imputation or relief tax systems, the tax treatment of repatriated profits, and inter-country withholding taxes on dividends and interest significantly influence the decision of where to locate debt and the proportion of debt located abroad. Our results are robust to firm and issue specific factors and to the effect of legal regimes, debt market development, and exchange rate risk.     

Industrial coal demand in China: A provincial analysis

The general concern on the environmental implications of the rising demand for coal registered in China during the last few years has induced considerable research effort to produce accurate forecasts of China's energy requirements. Nevertheless, no previous study has modelled the coal demand in China at provincial level. The aim of this paper is twofold. First, we estimate and forecast the Chinese demand for coal using panel data disaggregated by provinces and accounting for spatial heterogeneity. Second, given the spatial nature of the data, we explicitly capture the spatial autocorrelation among provinces using spatial econometrics. In particular, we specify the Chinese industrial coal demand at provincial level with fixed-effect spatial models. The empirical results show that the fixed-effect spatial ADL model is able to capture the existing interdependence between provinces. This model forecasts an average annual increase in coal demand to 2010 of nearly 2%.