Government Expenditure Financing in a Two‐Sector Cash‐In‐Advance Model of Endogenous Growth

We show that an expansion in the government size could be desirable from the viewpoint of the economy's long‐run growth, wherein factor intensity between the sectors, the mode of public spending financing, and the form of the cash‐in‐advance (CIA) constraint are crucial. We also show that when real balances are required only for consumption purchases, money financing is equivalent to consumption tax financing, but is not equivalent to income tax financing. If both consumption and gross investment are liquidity‐constrained, then the three financing methods are mutually not equivalent. The optimal financing scheme has the following features: (1) when the CIA constraint applies only to consumption purchases, any combination of the money growth rate and the consumption tax rate that satisfies the government budget constraint constitutes an optimal financing mix; (2) when the CIA constraint applies to both consumption and investment purchases, consumption tax financing only is optimal.     

R&D Partnerships and Innovation Performance: Can There Be too Much of a Good Thing?

R&D collaboration facilitates the pooling of complementary skills, learning from the partner as well as the sharing of risks and costs. Research therefore stresses the positive relationship between collaborative R&D and innovation performance. Fewer studies address the potential drawbacks of collaborative R&D. Collaborative R&D comes at the cost of coordination and monitoring, requires knowledge disclosure, and involves the risk of opportunistic behavior by the partners. Thus, while for lower collaboration intensities the net gains can be high, costs may start to outweigh benefits if firms perform a higher share of their innovation projects collaboratively. For a sample of 2735 firms located in Germany and active in a broad range of manufacturing and service sectors, this study finds that increasing the share of collaborative R&D projects in total R&D projects is associated with a higher probability of product innovation and with a higher market success of new products. While this confirms previous findings on the gains for innovation performance, the results also show that collaboration has decreasing and even negative returns on product innovation if its intensity increases above a certain threshold. Thus, the relationship between collaboration intensity and innovation follows an inverted‐U shape and, on average, costs start to outweigh benefits if a firm pursues more than about two‐thirds of its R&D projects in collaboration. This result is robust to conditioning market success to the introduction of new products and to accounting for the selection into collaborating. This threshold is, however, contingent on firm characteristics. Smaller and younger as well as resource‐constrained firms benefit from relatively higher collaboration intensities. For firms with higher collaboration complexities in terms of different partners and different stages of the R&D process at which collaboration takes place, returns start to decrease already at lower collaboration intensities.     

COOPERATION: THE POWER OF A SINGLE WORD? SOME EXPERIMENTAL EVIDENCE ON WORDING AND GENDER EFFECTS IN A GAME OF CHICKEN

Framing has been widely shown to affect decision making. In this paper, we investigate experimentally whether, and to what extent, cooperative behaviour in a Game of Chicken may be impacted by a very basic change in the labelling of the strategies. Our within‐subject experimental design involves two treatments. The only difference between them is that we introduce either a socially‐oriented wording (I cooperate/I do not cooperate) or colours (red/blue) to designate strategies. The level of cooperation appears to be higher in the socially‐oriented context, but only when uncertainty as regards the type of the partner is manipulated, and especially among females.     

Market Implied Ratings and Financing Constraints: Evidence from US Firms

Financing constraints have been found to play an important role in several aspects of firm behavior, but no attention has been given to their effects on credit ratings. In this paper we analyze a unique and comprehensive data set for US firms rated by Fitch over the period 2001–07. We employ Fitch's market implied ratings derived from bond and equity prices. The analysis finds evidence that financial variables are more important in predicting credit ratings for firms likely to face financing constraints. We conclude that the financing constraint is an important dimension in the market implied ratings process. Our findings are of relevance to managers, investors and rating agencies seeking to understand the mechanism through which financing constraints affect credit ratings.     

Organizational Structure,Board Composition,and Risk Taking in the U.S. Property Casualty Insurance Industry

This study examines the impact of organizational structure and board composition on risk taking in the U.S. property casualty insurance industry, addressing different risk‐taking behaviors from different perspectives. The risk‐taking measures include total risk, underwriting risk, investment risk, and leverage risk. The evidence shows that mutual insurers have lower total risk, underwriting risk, and investment risk than stock insurers. In terms of board composition variables, we find that some board composition variables not only have impact on risk‐taking behaviors but also affect different risk measures differently. Thus, using different risk measures is better than using one risk measure to assess risk‐taking behavior. Finally, we conclude that an insurer can control its total risk through management of underwriting, investment, and leverage risks that determine an insurer's risk profile.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

Publishing performance in economics: Spanish rankings (1990–1999)

Abstract. This paper contributes to the growing literature that analyses the Spanish publishing performance in Economics throughout the 1990s. Several bibliometric indicators are used in order to provide Spanish rankings (of both institutions and individual authors) based on Econlit journals. Further, lists of the ten most influential authors and articles over that period, in terms of citations, are reported. We are grateful to many colleagues who made very useful remarks to preliminary versions of this paper, as well as to two anonymous referees. We are particularly indebted to Xavier Sala-i-Martín, without whose invaluable help this work would not have been possible. All errors or omissions are of our exclusive responsibility.     

Effects of Collaborative Communication on NPD Collaboration Results: Two Routes of Influence

Although NPD collaboration with external partners has become the next generation in NPD practice, the discussion concerning how to organize collaboration so as to obtain better results is far from over. Since communication is the most important element in successful interfirm exchange, this study focuses on the impact of collaborative communication and its facets—frequency, formality, reciprocal feedback, and rationality—on NPD collaboration results. In order to explain how collaborative communication can best be managed to enhance NPD collaboration results, this research combines the relational and resource‐based views, proposing the existence of two routes of influence: the direct resource‐based route and the indirect relational route mediated by trust. Using a sample of 207 NPD collaboration projects of innovative firms, empirical findings indicate that reciprocal feedback–rationality and frequency play an important role in product quality and adherence to budget and schedule, respectively, even without trust. Moreover, the trust between partners substantially reinforces the positive influence of reciprocal feedback–rationality on NPD collaboration results and makes the effect of formality significant. Therefore, the two alternative routes are confirmed as important paths to new product success, which provides relevant managerial implications.     

When Research Meets Development: Antecedents and Implications of Transfer Speed

This paper focuses on the organization of new product development in large, R&D‐intensive firms. In these firms, research and development activities are often separated. Research is conducted in dedicated research projects at specialized research labs. Once research results are achieved by research projects, they are transferred to business units for further development and commercialization. We investigate the speed whereby research projects transfer their first research results to business units (hereafter: transfer speed). In particular, we analyze the antecedents and performance implications of transfer speed. Based on data of 503 research projects from a European R&D intensive manufacturing firm, our results suggest that a fast transfer speed (as measured by the time it takes for a research project to develop and transfer its first research result to business units) is associated with a better research performance (as measured by the total number of transfers the research project generates). Moreover, we find that different types of external R&D partners—science‐based and market‐based partners—play distinct roles in speeding up project first research transfers. While market‐based partnerships (i.e., customers and suppliers) generally contribute to a faster transfer of first research results, science‐based partnerships (i.e., universities and research institutions) only speed up first research transfers of technologically very complex projects. Our results also show that early patent filings by research projects accelerate first research transfers.     

Crowdsourcing and work: individual factors and circumstances influencing employability

The development of a fast and reliable Internet, new technologies online payment systems, and changes in work structure that enable and demand flexible working patterns have driven a move to a new form of Internet‐enabled labour exchange called crowdsourcing. Evidence from an in‐depth qualitative study is presented, focusing on selected users' interactions and experiences of working on two UK‐based crowdsourcing platforms. The paper shows that workers engaged in this form of labour exchange need to deploy existing employability skills and networks to effectively meet the challenges, and take advantage of the opportunities, that crowdsourcing presents. Individual factors and circumstances emerge as paramount for workers' continued engagement in this form of employment. Using selected components from an employability framework, the findings suggest that crowdsourcing can offer new pathways to practising skills and enhancing employability for some workers.