Learning by fund-raising

From experience, fund-raisers become more efficient solicitors. This paper offers a full characterization of the optimal solicitation strategy when there are learning economies. The characterization is recursive, and does not require equilibrium computations. Our main results are that (1) the fund-raiser may now solicit a “ net free-rider”—a donor whose contribution falls below the marginal solicitation cost; (2) the number of solicitations is non-monotonic in the learning rate; and (3) a solicitation technology with high overhead but low marginal costs is likely to be optimal if income distribution in the population is relatively homogenous. The complementary case with a decreasing returns to scale technology is also considered.     

Financialization of Housing in Brazil: New Frontiers

The financialization of housing has been increasingly identified as an important driver of social and economic change in contemporary capitalism. Focusing on the Brazilian context, this article considers the extent to which recent changes in housing regulations, policies and markets confirm or challenge narratives about the financialization of housing in the international academic debate. I argue that while many of the trends stressed in the literature are apparent, more extreme processes of financialization within the Brazilian housing sector remain limited––not only because of institutional and regulatory constraints, path dependence or political resistance, but also because of fundamental structural conditions of Brazil's position as a peripheral economy. Three different but mutually reinforcing processes are scrutinized in order to evaluate the financialization of housing and its limits in Brazil: the re‐regulation of the real estate financial sector initiated in the 1990s; the changing funding patterns among real estate companies since the mid‐2000s; and the increasing commodification of housing induced by a large‐scale and heavily subsidized housing program launched in 2009.     

Modelling Electricity Prices: International Evidence*

This article analyses the evolution of electricity prices in deregulated markets. We present a general class of models that simultaneously takes into account several factors: seasonality, mean reversion, GARCH behaviour and time‐dependent jumps. The models are applied to daily equilibrium spot prices of eight electricity markets. Eight different nested models were estimated to compare the relative importance of each factor in each of the eight markets. We find strong evidence that electricity equilibrium prices are mean‐reverting, with volatility clustering (GARCH) and with jumps of time‐dependent intensity, even after adjusting for seasonality.     

R&D Collaborations and Product Innovation*

This paper studies the relative impact on product innovation of research and development (R&D) collaborations with universities, suppliers, customers, and competitors. It argues that each type of R&D collaboration differs in terms of the breadth of new knowledge provided to the firm and in the ease of access of this new knowledge, resulting in a different impact on product innovation. As a result, it proposes that R&D collaborations with universities are likely to have the highest impact on product innovation, followed by R&D collaborations with suppliers, customers, and, finally, competitors. These arguments are tested on the R&D collaborations undertaken by a sample of 781 manufacturing firms during 1998–2002. The tests find that R&D collaborations with suppliers have the highest positive impact on product innovation, followed by collaborations with universities. Surprisingly, R&D collaborations with customers do not appear to affect product innovation, and collaborations with competitors appear to harm it. Moreover, the positive influence of R&D collaborations with universities and suppliers is sustained over the long‐term, but the negative influence of R&D collaborations with competitors is, fortunately, short‐lived. These findings indicate that ease of knowledge access, rather than breadth of knowledge, appears to drive the success of R&D collaborations for product innovation. R&D collaborations with suppliers or universities, which are characterized by relatively easy knowledge access, have a positive influence on product innovation, whereas R&D collaborations with customers or competitors, which are characterized by reduced ease in knowledge access, are not related or are even negatively related to product innovation. Moreover, to achieve product innovation with the help of R&D collaborations, it appears that the collaboration must first have mechanisms in place to facilitate the transfer of knowledge; once these are in place, it is better if the partner has a relatively narrow knowledge base. Thus, while R&D collaborations with both suppliers and universities are positively related to product innovation, the narrow knowledge base provided by collaborations with suppliers appears to have a larger positive impact on product innovation than the wider knowledge base provided by collaborations with universities. These arguments and findings are important and novel. The paper is one of the first to theoretically explain and empirically show that various types of collaborations have a differential influence on product innovation. It goes beyond previous literature by providing a theoretical logic for ranking the likely impact of types of collaborations on product innovation. The study also suggests to managers to carefully select the partners for their firms' R&D collaborations. Collaborations with suppliers appear to be the most promising for product innovation, followed by collaborations with universities, whereas collaborations with competitors may be detrimental to product innovation.     

Foreign players,team production,and technical efficiency: Evidence from European soccer

As on-field success is nowadays the main objective of European soccer clubs, good management needs to extract the highest sport success from the squad talent at hand. Because teams differ in their quality, performance needs to be compared with the best practice of comparable units. One remarkable source of heterogeneity across teams is the squad composition, which can produce gains from diversity together with communication costs. The paper studies the efficiency in sporting performance of soccer teams, paying attention to how the number of foreign players relates to productive inefficiency. Using data for 146 teams in the top 5 European leagues during 10 seasons, we estimate a double heteroskedastic True Random Effects Stochastic Frontier team production function. We find that (i) the number of passes, ball recoveries, and shots from the penalty area improve team efficiency, and (ii) a higher number of foreign players increase inefficiency. Our findings suggest that gains from squad diversity might be offset by communication costs.