We propose the river pollution claims problem to distribute a limited pollution budget among agents located along a river. A key distinction with the standard claims problem is that agents are ordered and they are given priority based on their location in this order instead of their identity. We...

Polluted rivers are harmful to human, animals and plants living along it. To reduce the harm, cleaning costs are generated. However, when the river passes through several different countries or regions, a relevant question is how should the costs be shared among the agents. Ni and Wang (2007)...

Consider a group of agents located along a polluted river where every agent must pay a certain cost for cleaning up the polluted river. Following the model of Ni and Wang (2007), we propose the class of α-Local Responsibility Sharing methods, which generalizes the Local Responsibility Sharing...

We propose the river pollution claims problem to distribute a pollution budget among agents located along a river. A key distinction with the standard claims problem is that agents are ordered exogenously. For environmental reasons, the location of pollution along the river is an important...

Total Factor Productivity (TFP)is often used on the macro-economic level as an indicator of changes in efficiency of a country. In many transition economies TFP is seen to have been negative the last decade of the plan economy and starts increasing and become positive after a (quite a) few years...

In this article we consider the efficient estimation of the tail distribution of the maximum of correlated normal random variables. We show that the currently recommended Monte Carlo estimator has difficulties in quantifying its precision, because its sample variance estimator is an inefficient...

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...