Some Law and Economics of Historic Shipwrecks

This paper examines how US and proposed international law relate to the recovery of archaeological data from historic shipwrecks. It argues that US federal admiralty law of salvage gives far less protection to historic submerged sites than do US laws protecting archaeological sites on US federal and Indian lands. The paper offers a simple model in which the net present value of the salvage and archaeological investigation of an historic shipwreck is maximized. It is suggested that salvage law gives insufficient protection to archaeological data, but that UNESCO's Convention on the Protection of the Underwater Cultural Heritage goes too far in the other direction. It is also suggested that a move towards maximizing the net present value of a wreck would be promoted if the US admiralty courts explicitly tied the size of salvage awards to the quality of the archaeology performed.

Murky Waters: The Law and Economics of Salvaging Historic Shipwrecks

The salvage of historic shipwrecks involves a debate between salvors, who wish to maximize profit, and archeologists, who wish to preserve historical value. Traditionally, salvage of shipwrecks has been governed by admiralty law, but the Abandoned Shipwreck Act of 1987 transferred title of historically important wrecks in U.S. waters to the state in whose waters the wreck is found, thereby abrogating admiralty law. This paper examines incentives to locate and salvage historic wrecks under traditional admiralty law and proposes an efficient reward scheme. It then re-considers current U.S. and international law in light of the results.

Harris, E. M; Leão, D. F. and Rhodes, P. J. , Law and Drama in Ancient Greece, Duckworth, London, 2010, vii + 200 pp.

Fil: Fernández Deagustini, María del Pilar. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Harris, E. M; Leão, D. F. and Rhodes, P. J. , Law and Drama in Ancient Greece, Duckworth, London, 2010, vii + 200 pp.

Fil: Fernández Deagustini, María del Pilar. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Harris, E. M; Leão, D. F. and Rhodes, P. J. , Law and Drama in Ancient Greece, Duckworth, London, 2010, vii + 200 pp.

Fil: Fernández Deagustini, María del Pilar. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

Benford's Law and Fraud Detection. Facts and Legends

Is Benford's law a good instrument to detect fraud in reports of statistical and scientific data? For a valid test the probability of "false positives" and "false negatives" has to be low. However, it is very doubtful whether the Benford distribution is an appropriate tool to discriminate between manipulated and non-manipulated estimates. Further research should focus more on the validity of the test and test results should be interpreted more carefully.

Management for a Variety of Environmental Pollution and North-South Trade

A simple static model incorporating a variety of environmental pollution is developed. An autarky model shows that a developing country regulates fewer types of pollution by income-induced environmental policy. As income grows, the types of regulated pollution increase and also introduced regulations become tougher.Then the model incorporates international trade between a developed country and a developing country. The model gives a new interpretation for the pollution haven hypothesis. Some types of pollution abated with inefficient technology are emitted more in a developing country but other types necessarily increase in a developed country in order to meet the trade balance.

Influence of local wind speed and direction on wind power dynamics - Application to offshore very short-term forecasting

Wind power time series usually show complex dynamics mainly due to non-linearities related to the wind physics and the power transformation process in wind farms. This article provides an approach to the incorporation of observed local variables (wind speed and direction) to model some of these effects by means of statistical models. To this end, a benchmarking between two different families of varying-coefficient models (regime-switching and conditional parametric models) is carried out. The case of the offshore wind farm of Horns Rev in Denmark has been considered. The analysis is focused on one-step ahead forecasting and a time series resolution of 10 min. It has been found that the local wind direction contributes to model some features of the prevailing winds, such as the impact of the wind direction on the wind variability, whereas the non-linearities related to the power transformation process can be introduced by considering the local wind speed. In both cases, conditional parametric models showed a better performance than the one achieved by the regime-switching strategy. The results attained reinforce the idea that each explanatory variable allows the modelling of different underlying effects in the dynamics of wind power time series.