Information flow from Japan to U.S. researchers in applied and basic energy research fields

A recent study conducted by Pacific Northwest Laboratory (PNL) evaluated technical information transfer from Japan to the United States. This evaluation was part of a larger assessment of international monitoring of energy technology development conducted for the U.S. Department of Energy. For this study, U.S. researchers in each of ten selected technical fields were identified and interviewed to obtain their perceptions of information transfer from Japan. Results from these interviews indicated that, although there are major differences among the technical fields, U.S. researchers generally consider information transfer from Japan to the U.S. to be inadequate. Researchers particularly noted the difficulties they have attending conferences in Japan or visiting Japanese research facilities. In contrast, Japanese researchers attend all major conferences and frequently visit laboratories in the U.S. Researchers recommended several steps to improve technology transfer from Japan, including improving the screening and translation of technical material published in Japan, promoting binational seminars and workshops, and encouraging laboratory visits and exchanges of research personnel.     

Ambiguous political power and contest efforts

When there is incomplete information on the source of power in a contest, the contestants may divide their lobbying efforts between the potential centers of power, only one of which determines the contests’ winning probabilities. Our analysis focuses on the effect of ambiguity regarding the source of power on the contestants’ aggregate effort in a symmetric, simple lottery contest with two potential centers of power. Specifically, we examine the effects of varying the informativeness of the contestants’ private signals (i.e., the probability that a signal is correct) and the degree of correlation between them. Our benchmark case is the standard Tullock’s model, in which the source of power is known, i.e., the contestants’ signals are perfectly informative. We show that the level of aggregate effort in this case is reached also when the signals are perfectly uninformative. However, in any intermediate case the contestants’ aggregate effort is lower, provided that the signals are not perfectly correlated. In other words, there is a U-shape relationship between the informativeness of the signals and the aggregate effort in the contest. The lowest level of effort is spent when the signals are independent and the probability that a signal is true is about 0.85. In this case, efforts are reduced by about one-fifth in comparison with the benchmark case: from a rent dissipation of 50% to slightly over 40%.     

Stakes and Welfare in Rent-Seeking Contests

Using a public-policy application ofTullock's two-player rent-seeking contest,this paper focuses on the relationshipbetween the aggregate expected utility ofthe players and their asymmetricvaluations. In our game these valuationsare the players' payoffs in the twopossible states of nature, namely, theapproval and rejection of the proposedpublic policy. Our main result provides thecondition that ensures that the aggregateexpected payoff of the two contestants (theinterest groups that compete on theapproval of the proposed policy) is positively related to the valuationparameters.     

Distinguishing Absentee Students from Regular Attenders: The Combined Influence of Personal,Family, and School Factors

In the present study, the relationship between student attendance and personal characteristics of the student, the student's family relations, and school variables were examined in a sample of 54 high school students. Consistent with earlier reports, t-tests revealed statistically significant relationships between school absence and many student, family, and school variables. The data were also analyzed using a stepwise discriminant analysis. The results showed that the absentee and regular attending students could be distinguished based on a combined set of 6 variables representing each of the three domains of student, family, and school characteristics. The results further revealed that several variables that were statistically significant in the univariate analyses failed to be retained in the discriminant analysis, suggesting that these variables did not contribute sufficient unique variance to warrant their inclusion in the discriminant function. The implications of school absence as a multifactored problem is discussed with respect to assessment and treatment effectiveness.