Lost in intervention. The Harrod–Balassa–Samuelson effect on the peseta/dollar real exchange rate (1870–1998)

We have decomposed the peseta/dollar real exchange rate (1870–1998) into its trend and cyclical components and used the former to proxy its time-varying equilibrium. Then, we have compared changes in the equilibrium with changes in the Spanish and the USA productivity differentials to identify years that do not fit with the Harrod–Balassa–Samuelson (HBS) hypothesis. The greatest maladjustment is found in the 1940s and 1950s, decades of strong exchange rate intervention in Spain. Conversely, the link between equilibrium and differentials adjusts to the hypothesis when using the non-intervened peseta/dollar exchange rate on the Tangier black market. These contrasting results back up the idea that exchange rate intervention, so common in developing countries, might explain their scanter evidence in favour of the HBS effect.     

Technology Exploitation Paths: Combining Technological and Complementary Resources in New Product Development and Licensing

Technological resources in the form of patents, trade secrets, and know‐how have become key assets for modern enterprises. This paper addresses a critical issue in technology and innovation management, namely, the commercial exploitation of technological resources resulting from research and development (R&D) investments. Extracting economic value from these resources by maximizing the benefits for shareholders is an extremely challenging task because technological resources are intangible, idiosyncratic, uncertain, predominantly tacit, and with poorly defined property rights. In their attempt to extract the maximum value from their technological resources, firms increasingly combine their internal exploitation through new product development (NPD) with external exploitation through licensing. However, most existing studies on NPD and technology licensing have treated the two exploitation paths independently and in isolation, which has resulted in two separate research streams using different theories and addressing different managerial challenges. The purpose of this paper is to contribute to filling this gap by developing and testing a comprehensive conceptual framework that simultaneously considers the antecedents affecting the successful implementation of NPD and licensing strategies as well as their consequences on firm profitability. The paper in particular investigates the effects of the interplay between technological resources and three types of complementary resources, marketing, manufacturing, and relational. We test the model using structural equation modeling on a sample of 733 Spanish manufacturing firms observed from 2003 to 2007. The data provide support for the existence of different paths to market firm technologies: an internal path, whereby the ownership of technological resources fully explains NPD performance, and an external path, whereby high intensity of marketing and relational resources reinforces the positive effect of technological resources on licensing performance. This sustains the relevance of the resource‐based value‐enhancing effects of complementary resources in licensing, as opposed to the motivation‐reducing effects advanced by transaction cost‐based literature. Moreover, the empirical analysis shows a substitution effect between NPD and licensing, whereby their simultaneous pursuit at intense levels is associated with lower profit margins. This provides evidence of the much theorized, but seldom tested, rent dissipation effect. These findings offer several contributions to research on licensing, NPD, open innovation, and the resource‐based view of the firm. On a managerial level, they suggest that achieving maximum value from proprietary technologies may not entail exploiting them both through external and internal paths. Managers are also informed that the resource combinations that enhance licensing performance include marketing and relational resources.     

Testing for the bivariate Poisson distribution

This paper studies goodness-of-fit tests for the bivariate Poisson distribution. Specifically, we propose and study several Cramér–von Mises type tests based on the empirical probability generating function. They are consistent against fixed alternatives for adequate choices of the weight function involved in their definition. They are also able to detect local alternatives converging to the null at a certain rate. The bootstrap can be used to consistently estimate the null distribution of the test statistics. A simulation study investigates the goodness of the bootstrap approximation and compares their powers for finite sample sizes. Extensions for testing goodness-of-fit for the multivariate Poisson distribution are also discussed.     

A Representative Committee by Approval Balloting

A new voting rule for electing committees is described. Specifically, we use approval balloting and propose a new voting procedure that guarantees that if there is a committee that represents (with a given proportion of representatives) all of the existing voters, then the selected committee has to represent all of voters in at least the same proportion. This property is a way of selecting a committee that represents completely all of voters when such a committee exists. The usual voting rules in this context do not satisfy this condition.     

The α-stable processes and their relationship with the exponent of self-similarity: Exchange rates of USA Dollar,Canadian Dollar,Euro and Yen

This research work analyzes the yields of the exchange rate parities of the American dollar, Canadian dollar, Euro, and Yen; estimates the basic statistics and the α-stables; carries out the Kolmogorov–Smirnov, Anderson–Darling, and Lilliefors goodness of fit tests; estimates the self-similar exponents and carries out the t and F tests, ruling out that the series of parities are multifractal. It also estimates the confidence intervals of the exchange rate parities and concludes that the estimated α-stable distributions are more efficient than the Gaussian distribution to quantify the risks of the market, and that the series are self-similar. Through the ? index, we can infer the risk of the events, indicating that the parities are anti-persistent and thus have short-term memory, mean reversion, and a negative correlation with the high risk in the short and medium term. The estimation and validation of the α-stable distributions and the self-similar exponent are important in the evaluation and creation of innovative investment instruments through financial engineering, risk administration, and the evaluation of derived products.