Building the Knowledge Stock: Lags,Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth

The search for an appropriate methodology to investigate the relation between R&D investment, knowledge stock and productivity growth is the main purpose of the paper. In analogy with physical assets, we present a model of knowledge capital formation which allows the calculation of the relevant user cost, as well. The proposed model accumulates R&D investment based on a stochastic gestation lag and a geometric depreciation of the stock. The basic parameters underlying the lag structure differ according to the types of research expenditure. The approach is applied to public R&D investment in Italian agriculture; the results provide interesting information about the economic structure of public research effort in Italian agriculture and plausible estimates of its internal rate of return.     

Misperceiving the value of information in predicting the performance of others

Economic models typically allow for “free disposal” or “reversibility” of information, which implies non-negative value. Building on previous research on the “curse of knowledge” we explore situations where this might not be so. In three experiments, we document situations in which participants place positive value on information in attempting to predict the performance of uninformed others, even when acquiring that information diminishes their earnings. In the first experiment, a majority of participants choose to hire informed—rather than uninformed—agents, leading to lower earnings. In the second experiment, a significant number of participants pay for information—the solution to a puzzle—that hurts their ability to predict how many others will solve the puzzle. In the third experiment, we find that the effect is reduced with experience and feedback on the actual performance to be predicted. We discuss implications of our results for the role of information and informed decision making in economic situations. Electronic Supplementary Material Supplementary material is available in the online version of this article at http://dx.doi.org/10.1007/s10683-006-9128-y. JEL Classification C91, D83     

Environmental regulatory enforcement with “green” consumers

We consider a standard probabilistic model of random monitoring to analyze the interactions between a firm and a monitoring agency in the presence of “green” consumers when compliance payoffs are contingent on monitoring and monitoring costs are shared by the monitoring agency and the firm. When the amount paid by the firms if monitored is exogenously fixed, we find that full compliance is implemented with a finite fine. If there is an upper bound for the fine and the regulator determines endogenously the fine and the amount paid by the firms if monitored, we find that full compliance is also achieved, although the optimal fine is now set at its maximum level. The optimal amount paid by the firms if monitored is lower than the environmental premium the compliant firm gets.The author thanks two anonymous referees for their useful comments and suggestions     

Nonparametric estimation of stochastic volatility models

This letter introduces nonparametric estimators of the drift and diffusion coefficient of stochastic volatility models which exploit techniques for estimating integrated volatility with high-frequency data. The performance of the proposed estimators is assessed on simulations of two popular stochastic volatility models.     

Market clearing and derivative pricing

Summary. We develop a method of assigning unique prices to derivative securities, including options, in the continuous-time finance model developed in Raimondo (2001). In contrast with the martingale method of valuing options, which cannot distinguish among infinitely many possible option pricing processes for a given underlying securities price process when markets are dynamically incomplete, our option prices are uniquely determined in equilibrium in closed form as a function of the underlying economic data.Received: 14 April 2003, Revised: 7 January 2004, JEL Classification Numbers: G13, D52.This paper is dedicated to Birgit Grodal, whose strength and character we greatly admire. We are very grateful to Darrell Duffie, Steve Evans, Botond Koszegi, Roger Purves, Jacob Sagi, Chris Shannon, Bill Zame and an anonymous refereee for very helpful discussions and comments. The work of both authors was supported by Grant SES-9710424, and Andersons work was supported by Grant SES-0214164, from the National Science Foundation.     

Flypaper Effect and Sluggishness: Evidence from Regional Health Expenditure in Italy

In Italy, public expenditure reduction is achieved through a revision of social security and health care programs. In particular, public health expenditure control has been implemented through a reform that imposes more stringent budget rules to local governments and a considerable reduction in grants-in-aid from the central government. This paper investigates empirically whether the response to this decrease in categorical lump-sum grants from the central to local governments results in an asymmetric response to intergovernmental grants. Hard budget and soft budget constraint hypotheses are estimated by using a sample of cross-sectional and time observations covering the 20 Italian regions over the period 1989–1993. The main finding is the existence of a standard and a super flypaper effect in both models. The introduction of the soft-budget constraint hypothesis results in a stronger effect of grants and a lower response of own resources which shows that local governments prefer to incur some deficit instead of reducing health care expenditure.     

Innovation and Product Development Strategies in the Italian Motorcycle Industry

The motorcycle industry in Italy offers fertile ground for anyone interested in developing a better understanding of the role innovation plays in enhancing a firm's competitive position. This industry includes both domestic and Japanese firms, with companies ranging from high-volume manufacturers to specialty or niche producers. Firms trying to gain a competitive edge in this crowded field must contend with not only advances in product and process technology, but also the whims of fashion. In a survey of top-level marketing and product development managers from eight leading firms in the Italian motorcycle industry, Moreno Muffatto and Roberto Panizzolo explore the innovation models these firms employ to enhance their competitive position. Their study has the following objectives: categorizing the various competitors in terms of their product and market strategies and their product development and innovation strategies; highlighting differences between the methods of Italian and Japanese firms competing in this market; analyzing the relationships between firms, as well as the roles suppliers play in the various innovation strategies; and identifying the various organizational models employed by the firms in this industry. Different product and market strategies are identified on the basis of three variables: total production volume, the number of different products offered, and the number of different engine capacities offered. Using these variables, the companies in the study are categorized as volume producers, specialists, or niche specialists. The firms are further differentiated on the basis of the relative emphasis each places on product technology and design, product innovation, product variety, and time-based competition. In the firms studied, partnerships play a key role in new product development. Nearly every firm participates in joint projects, most often involving development of either an entire vehicle or an engine. Other partnerships involve firms in countries that offer emerging markets for the motorcycle industry. Organizational structures and strategies employed by the volume producers in this study include: the large product leader, who oversees concept definition and product planning; the project leaders group, which coordinates all phases of development, including activities assigned to external groups; the project managers matrix, a matrix organizational structure with a strong product orientation; and the business unit program manager, who oversees all projects within an independent business unit.     

Agency hazards and alliance portfolios

Prior research over several decades has catalogued many positive motives underlying firms' decisions to engage in joint ventures and other forms of alliances. In this empirical analysis, we investigate whether agency problems brought about by the separation of ownership and control also stimulate the development of firms' joint venture portfolios. By focusing on joint ventures, as opposed to diversification in general or acquisitions, we address the recent debate on agency theory's domain. Results from a sample of U.S. manufacturing firms' alliance portfolios offer supporting evidence, and comparable findings are obtained for international and domestic joint ventures. Agency hazards are also found to bring about extensions of firms' nonequity alliance portfolios in both the international and domestic settings. Copyright © 2005 John Wiley & Sons, Ltd.     

The impact of monetary policy on asset prices

Estimating the response of asset prices to changes in monetary policy is complicated by the endogeneity of policy decisions and the fact that both interest rates and asset prices react to numerous other variables. This paper develops a new estimator that is based on the heteroskedasticity that exists in high-frequency data. We show that the response of asset prices to changes in monetary policy can be identified based on the increase in the variance of policy shocks that occurs on days of FOMC meetings and of the Chairman's semi-annual monetary policy testimony to Congress. The identification approach employed requires a much weaker set of assumptions than needed under the “event-study” approach that is typically used in this context. The results indicate that an increase in short-term interest rates results in a decline in stock prices and in an upward shift in the yield curve that becomes smaller at longer maturities. The findings also suggest that the event-study estimates contain biases that make the estimated effects on stock prices appear too small and those on Treasury yields too large.