A multiple dispatch and partial backup hypercube queuing model to analyze emergency medical systems on highways

The hypercube is a spatially distributed queuing model based on Markovian analysis approximations, used to analyze the configuration and operation of server-to-customer emergency systems. In the present study we adapted the model to analyze emergency medical systems (EMS) on highways, which operate within particular dispatching policies. The study takes into consideration that: the emergency calls are of different types; the servers are distinct (e.g., rescue ambulances, medical vehicles); only certain servers in the system can service calls in a given region (partial backup); and, depending on the type of call, one or more identical or distinct servers are immediately dispatched to service such calls (multiple dispatch). We also consider that the arriving calls take place either along the highway or at the home location of a server – in which case the server does not need to travel to the call location. Finally, we analyzed the computational results of applying such an approach to the case study of an EMS operating on Brazilian highways.     

The Changing Rewards to Science: The Case of Biotechnology

Little is known about the form and or magnitude of compensation provided university-based scientists working on firm R&D. This is unfortunate, given the important role that university-based scientists play in R&D, and the growing literature concerning compensation and innovation. This paper sheds some light on these issues by examining the compensation of university-based scientists involved with 52 biotech firms that made an initial public offering between March of 1990 and November of 1992. Although the stock holdings of the university scientists are of particular interest, additional forms of compensation received by the scientists are also examined.We find that approximately 10 percent of the university-based scientists affiliated with these companies hold sufficient options or stock to require disclosure at the time of the public offering. A far larger proportion has an equity position in the firm. In many instances the scientists also receive consulting fees or salary from the firm and enter into licensing agreements with the firm. In addition to providing information concerning the compensation of university-based scientists, the empirical work suggests that the rewards to science can be significantly greater than previous work would suggest.     

Credit risk,owner liability,and bank loan maturities during the global financial crisis

We relate credit risk and owners’ personal guarantees to bank loan maturities during the global financial crisis. The findings, which remain robust to reverse causality, show that firms rated as low risk, with a strong relationship with the bank, whose owners provided personal guarantees and with large loan sizes obtained longer maturities. Banks with larger nonperforming loans provided loans with shorter maturities. Firms with low‐ and high‐risk ratings that provided owners’ personal guarantees obtained longer maturities. These findings shed additional light on the relationship between risk and loan maturities and the role of personal guarantees in reducing information asymmetries.     

Joint estimation using revealed and stated preference data: An application using a national forest

We combine contingent behaviour with travel cost data to estimate the change in the recreational use value of a National Forest due to quality and price changes. Instead of the usual improvement scenario, a hypothetical deterioration in the conditions of the forest due to a fire is considered. A dataset containing five observations for each respondent enabled the estimation of three models for which the number of scenarios differed. The results show that visitors are sensitive to price and quality changes and that in the forest fire scenario the intended number of trips would be reduced and that respondents would experience a welfare loss. Signs of inconsistency between preferences expressed by revealed and intended behaviour were found. This research also provides some indications that strategic bias affects answers to price changes.     

Technological and non-technological innovation and productivity in services vis-à-vis manufacturing sectors

In this paper, the links between investment in innovation activities, innovation outputs (technological and non-technological innovation) and productivity in services vis-à-vis the manufacturing sector are explored using innovation survey data from Uruguay. The size of firms, their cooperation in R&D activities, the use of public financial support, patent protection and the use of market sources of information are very important drivers of the decision to invest in innovation activities across sectors. The main determinants of technological and non-technological innovations are the level of investment in innovation activities and the size of the firm. The results indicate that both technological and non-technological innovations are positively associated to productivity gains in services, but non-technological innovations have a more important role. The reverse happens for manufacturing, where technological innovations are more relevant for productivity.     

THE NONPROFIT SECTOR OF THE U.S. ECONOMY: A METHODOLOGICAL STATEMENT

United States input-output accounts identify and measure the interrelationships between the various industries in the United States economy. However, these accounts do not identify nonprofit activities from their for-profit counterparts in the service-producing sector. This paper, prepared by Gabriel Rudney and Paula Young, presents the methodology and summary data produced by disaggregating the service-producing industries to identify separately nonprofit activities.
The input-output accounts for 1977 produced in this study include 107 industries, but in this paper the results are summarized into 14 industries showing only nonprofit and for-profit components. The GNP and total outputs in this study are consistent with the revised input-output accounts for 1977 prepared by the U.S. Department of Commerce, Bureau of Economic Analysis.     

Implications of firm experiential knowledge and sequential FDI on performance of Japanese subsidiaries in Brazil

A foreign firm investing in a culturally different market usually faces a certain level of uncertainty. This study proposes that as a multinational company accumulates experiential knowledge, it develops more capabilities and know-how and consequently reflects on subsidiary performance. Based on a subsidiary level sample of Japanese firms located in Brazil, the empirical findings of this study demonstrate that the accumulation of both international and local experiential knowledge can positively affect subsidiary performance. Moreover, a firm’s sequential foreign direct investment decision in the local market is a key strategy to achieving a higher level of subsidiary profitability in comparison with a first-time investment firm.

Access pricing: A comparison between full deregulation and two alternative instruments of access price regulation,cost-based and retail-minus

In this paper, two instruments of access price regulation, cost-based and retail-minus, are compared with the full deregulation hypothesis. For this purpose, a model that considers an upstream monopolist firm that sells a vital input to an independent firm and to a subsidiary firm in the downstream market is developed. The main conclusion of the paper is that retail-minus regulation avoids foreclosure and leads to better results than cost-based regulation in terms of investment level and consumer surplus. Moreover, retail-minus regulation allows a higher consumer surplus than deregulation of access price as long as the regulator carefully defines the retail-minus instrument.     

Unbiased estimation of expected return using CAPM

Estimation of expected return is required for many financial decisions. For example, an estimate for cost of capital is required for capital budgeting and cost of equity estimates are needed for performance evaluation based on measures such as EVA. Estimates for expected return are often based on the Capital Asset Pricing Model (CAPM), which states that expected excess return (expected return minus the risk-free rate) is equal to the asset's sensitivity to the world market portfolio (β) times the risk premium on the “world market portfolio” (the market risk premium). Since the world market portfolio, by definition, contains all assets in the world, it is not observable. As a result, an estimate for expected return is commonly obtained by taking an estimate for β based on some index (as a proxy for the world market portfolio) and an estimate for the market risk premium based on a potentially different index and multiplying them together. In this paper, it is shown that this results in a biased estimate for expected return. This is undesirable since biased estimates lead to misallocation of funds and biased performance measures. It is also shown in this paper that the straightforward procedure suggested by Fama and MacBeth [J. Financ. Econ. 1 (1974) 43] results in an unbiased estimate for expected return. Further from the analysis done, it follows that, for an unbiased estimate, it does not matter what proxy is used, as long as it is used correctly an unbiased estimate for expected return results.