Stalling innovation of Cognitive Radio: The case for a dedicated frequency band

After more than a decade of frantic R&D efforts, Cognitive Radio (CR) technology continues to fail to pass the first developmental milestone of a working prototype, suggesting that the CR innovation process may be stalling. This paper analyzes possible reasons for this situation from the perspective of innovation management and economics. The CR innovation process has developed in a complex environment shaped by a combination of technology-push and market-pull forces. This paper shows that this process is being stifled by two barriers emerging from the current reliance of CR technology on opportunistic dynamic spectrum access as the sole means for entry into the wireless market. The technology-push is affected by the barrier of technological complexities linked to the requirement to protect highly sensitive incumbent systems. The market-pull forces are being negated by market lock-in and a strong status quo of well-established wireless players. This paper argues that overcoming these barriers and revitalizing the practical development of CR could be possible with the aid of light-touch governmental intervention. This could take the form of designating a dedicated CR band, which would benefit CR through less strict spectrum access requirements. A vibrant cognitive environment could flourish in this type of band, supporting CR innovation.     

Choosing a port: An analysis of containerized imports into the US

Using a unique data set of individual shipments, port characteristics, and actual freight charges, we examined potential factors within management controls that affect the attractiveness of a port for containerized shipments. We hypothesized that the importance placed on each factor varies by the size of the shipper. We find support for our hypotheses that large shippers emphasize the factors affecting speed of delivery more than the freight charges compared to small shippers. These findings have managerial implications because investments in port development would pay off depending on the fit between the type of investment and the customers’ needs.     

Pluralism at Risk? Heterodox Economic Approaches and the Evaluation of Economic Research in Italy

We analyze Italy's recent research evaluation exercise (VTR) as a salient example in discussing some internationally relevant issues emerging from the evaluation of research in economics. We claim that evaluation and its criteria, together with its linkage to research institutions' financing, are likely to affect the direction of research in a problematic way. As the Italian case documents, it is specifically economists who adopt unorthodox paradigms or pursue less diffused topics of research that should be concerned about research evaluation and its criteria. After outlining the recent practice of economic research in Italy and highlighting the relevant scope for pluralism that traditionally characterizes it, we analyze the publications submitted for evaluation to the VTR. By comparing these publications to all the entries in the EconLit database authored by economists located in Italy, we find a risk that the adopted ranking criteria may lead to disregarding historical methods in favor of quantitative and econometric methods, and heterodox schools in favor of mainstream approaches. Finally, by summarizing the current debate in Italy, we claim that evaluation should not be refused by heterodox economists, but rather that a reflection on the criteria of evaluation should be put forward at an international level in order to establish fair competition among research paradigms, thus, preserving pluralism in the discipline.     

A driver focused truck crash prediction model

This paper advances a driver focused truck crash prediction model. The model investigates the contribution of driver factors on the number of state reportable crashes in which the driver was involved. The findings suggest that the following factors are significantly related to the likelihood of a crash occurrence: driver age, weight, height, gender, and employment stability as well as previous driver and vehicle violations and past crashes. The results have significance regarding the Federal Motor Carrier Safety Administration imperative to improve safety.     

Telephone conferencing in administrative hearings

A research summary of the Fair Hearing Project underway at the University of New Mexico aimed at evaluation the use of telephone conferencing in administrative hearings.     

A Monte Carlo approach to compute the asymptotic standard errors of dynamic multipliers

A Monte Carlo method to compute asymptotic standard errors of dynamic multipliers is proposed. It is applied to Hein's Model I to find standard error of interim multipliers of taxes on nominal income.     

Wanted — wise policy not restrictive regulation

This article begins by restating some familiar tenets of information processing and telecommunications theory: that our emerging post-industrial economy is becoming increasingly service-oriented with a corresponding emphasis being placed upon information-intensive activities;¹ that technical improvements in telecommunications systems are forthcoming at an almost exponential rate of increase;² that a wide array of developed or developing telecommunications systems (including computer-based word processing, cable/satellite TV, interactive video, videotext, etc) are being considered for possible application in varied settings (ranging from the home to the office to the delivery of governmental services).     

The interactions between national systems and sectoral patterns of innovation

Do national and sectoral innovation systems interact with each other? The paper explores this unexplored question by carrying out a cross-sector cross-country analysis of European systems of innovation in the 1990s. The empirical study takes Pavitt’s (Res Policy 13:343–373, 1984) taxonomy as a starting point, and it investigates the cross-country variability of Pavitt’s sectoral patterns of innovation. The analysis leads to three main results. First, the various technological trajectories show large differences across countries, due to the influence of national innovation systems. Second, there is evidence that the interaction between national systems and sectoral patterns of innovation constitutes an independent source of variability in the sample. Third, the analysis leads to the identification of eight sector- and country-specific technological trajectories in European manufacturing industries, and, based on that, proposes a refinement of Pavitt’s taxonomy. The refined taxonomy, in a nutshell, suggests that sectoral systems must be supported by and interact with their respective national systems in order to become industrial leaders.     

Consistent High-precision Volatility from High-frequency Data

Estimates of daily volatility are investigated. Realized volatility can be computed from returns observed over time intervals of different sizes. For simple statistical reasons, volatility estimators based on high-frequency returns have been proposed, but such estimators are found to be strongly biased as compared to volatilities of daily returns. This bias originates from microstructure effects in the price formation. For foreign exchange, the relevant microstructure effect is the incoherent price formation, which leads to a strong negative first-order autocorrelation ρ(1)≃40 per cent for tick-by-tick returns and to the volatility bias. On the basis of a simple theoretical model for foreign exchange data, the incoherent term can be filtered away from the tick-by-tick price series. With filtered prices, the daily volatility can be estimated using the information contained in high-frequency data, providing a high-precision measure of volatility at any time interval.
(J.E.L.: C13, C22, C81).     

Asset pricing with Second-Order Esscher Transforms

The purpose of the paper is to introduce, in a discrete-time no-arbitrage pricing context, a bridge between the historical and the risk-neutral state vector dynamics which is wider than the one implied by a classical exponential-affine stochastic discount factor (SDF) and to preserve, at the same time, the tractability and flexibility of the associated asset pricing model. This goal is achieved by introducing the notion of exponential-quadratic SDF or, equivalently, the notion of Second-Order Esscher Transform. The log-pricing kernel is specified as a quadratic function of the factor and the associated sources of risk are priced by means of possibly non-linear stochastic first-order and second-order risk-correction coefficients. Focusing on security market models, this approach is developed in the multivariate conditionally Gaussian framework and its usefulness is testified by the specification and calibration of what we name the Second-Order GARCH Option Pricing Model. The associated European Call option pricing formula generates a rich family of implied volatility smiles and skews able to match the typically observed ones.