Tariffs vs Quotas in a Model of Trade with Capital Accumulation*

This paper examines the equivalence among price‐modifying and quantity‐fixing international trade policies in a differential game. We employ two well‐known capital accumulation dynamics for firms, due to Nerlove and Arrow and to Ramsey, respectively. We show that, in both cases, open‐loop and closed‐loop Nash equilibria coincide. Under the former accumulation the tariff‐quota equivalence holds, while, in general, it does not under the latter. Moreover, in the Ramsey model, the country setting the trade policy (weakly) prefers a quantity‐equivalent import quota to the adoption of the tariff. These results are not a consequence of the equilibrium concept we adopt (with and without market power), but directly follow from the interplay between market power and the properties of accumulation dynamics.     

THE UNEQUALIZING EFFECTS OF ICT ON ECONOMIC GROWTH

We analyse the effects of information and communication technology (ICT) on levels and growth of per capita GDP in two different ways: (1) by treating ICT as a specific type of physical capital and as a variable that helps to correct for quality existing physical capital measures, and (2) by considering that telephone lines, personal computers and internet hosts are ‘bottleneck‐reducing’ factors that increase the productivity of labour by making easier the diffusion and processing of (non‐rivalrous and almost non‐excludable) knowledge. We compare the relative significance of the two hypotheses in level and growth estimates and find that, when separately taken, both of them improve upon the classical Mankiw et al. (Quarterly Journal of Economics, Vol. 107 (1992), pp. 407–437)/Islam (Quarterly Journal of Economics, Vol. 110 (1995), pp. 1127–1169) framework. These findings show that our approach captures dimensions of time‐varying country‐specific technological progress that previous approaches in the literature did not take into account.     

Optimal top marginal tax rates under income splitting for couples

This paper provides formulas for optimal top marginal tax rates when couples are taxed according to income splitting between spouses, consumption is taxed, and the skill distribution is unbounded. Optimal top marginal income tax rates are computed for Germany using a dataset that includes the tax returns of all German top taxpayers. We find that the optimal top marginal tax rate converges to about 2/3 and convergence obtains at income levels that are substantially higher than those currently subject to the actual top tax rate.     

Assessing the Impact of Alternative Water Pricing Schemes on Income Distribution

The reform of water pricing policies may represent an effective instrument for enhancing the efficient use of water resource. However, policy makers fear that a change in the pricing methods may cause income loss for some farmers, and that this income inequality may generate public discontent and policy inertia. The aim of this paper was to compare some pricing methods in order to measure their effects on income distribution. The analysis focuses on the income distribution among different types of farms, and the income distribution between different social groups (landowners, capitalists and workers) in the short term. A linear programing model based on expected utility theory is used to take into account the effect of commodity prices and rainfall variability, which are among the most relevant factors affecting farmers’ income. According to the findings, water pricing schemes do not affect the income distribution among farm types, although a significant impact emerges on the distribution among social groups, and in particular on the wages of temporary workers.     

MUTUAL AND SOCIAL EFFICIENCY OF ITALIAN CO‐OPERATIVE BANKS: AN EMPIRICAL ANALYSIS

In this study we analyze the concept of efficiency in co‐operative banks (CBs) from the points of view of the mutuality and sustainability of business. According to the extant literature, CBs are often less efficient than traditional banks, but the reason for this apparently higher inefficiency is strictly correlated to their statutory commitments. The purpose of this paper is to verify, through an empirical survey of 33 Tuscan ‘Banche di Credito Cooperativo’ (BCC), if a particular type of Italian CB is less or more competitive compared to non‐co‐operative ones by using and adapting two financial indicators: the financial value added and the cost‐income ratio. Our findings show that by implementing appropriate corrections to the value‐added indicator and to the cost‐income ratio, BCC appear efficient and mission‐oriented, with a significantly reduced performance gap in comparison to non‐co‐operative credit institutions.     

When counterfeits raise the appeal of luxury brands

Counterfeiting is a widespread practice throughout the world. The conventional wisdom is that it affects branded goods negatively. In this paper, however, we suggest that counterfeiting may actually benefit certain luxury brands. By means of two studies, we show how the market presence of luxury counterfeit items can increase consumers’ willingness to pay for original brands. In Study 1, we show that the presence of luxury counterfeits can increase consumers’ willingness to pay for well-known original brands, but not for lesser-known ones. Brand awareness plays a moderating role in the positive relationship between counterfeiting and willingness to pay (WTP). In Study 2, we address the psychological mechanisms that explain this increased willingness to pay. The results show that consumers’ (a) pleasure at being envied, (b) pleasure in distinguishing themselves, and (c) perception of the quality of the original goods fully mediate the relation between the presence of counterfeit in the market and consumers’ WTP for originals. We subsequently discuss the theoretical and managerial implications of the two study results.     

<Emphasis Type="Italic">Notes and Comments:</Emphasis> Profitability in a multiple strategy market

The link between martingales and arbitrage is well-known in financial theory: arbitrage is not available if and only if there exists an equivalent measure such that the discounted prices are martingales with respect to this measure (MME). As a consequence, under MME, any previsible (non-anticipative) strategy cannot have secure (without risk) profit. Moreover, a careful reading of a bootstrap proof of the first fundamental theorem of asset pricing (see Schachermeier (1992)) underlines the fact that, if there is no possibility of arbitrage during any unit interval, then no arbitrage is allowed with any finite temporal horizon strategy. Mathematics Subject Classification (2000): Primary: 60G48; Secondary: 60G40, 60G07 Journal of Economic Literature Classification: C50, C72, D84     

Quantifying knowledge exchange in R&amp;D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Nationalism,cognitive ability,and interpersonal relations

Interpersonal relations are shaped by the judgements associated with the social categories that individuals perceive in their social contacts. I develop a model of how those judgments form based on a theory of symbolic values. The model depicts the interaction between two values, one associated with an inherited ethnic trait (“nationality”) and one with an endogenous achievement trait (“income”). Individuals with lower cognitive ability are predicted to invest more value on nationalism and to have hostile relations with immigrants. Multiple equilibria are possible, and better schooling may eliminate equilibria with xenophobia. Econometric findings based on data from three large surveys corroborate the predictions derived from the theoretical model.