An optimal Bonus-Malus System (BMS) based on both the number of accidents and the severity of each accident was developed by Frangos and Vrontos (2001). In this paper we extend the work of Frangos and Vrontos (2001), Lemaire (1995) and Dionne and Vannasse (1989, 1992) using finite mixture...

Decision-makers who usually face model/parameter risk may prefer to act prudently by identifying optimal contracts that are robust to such sources of uncertainty. In this paper, we tackle this issue under a finite uncertainty set that contains a number of probability models that are candidates...

The paper proposes and approves new criteria for proximity of statistical and computational economic indexes, their convolution, which are used in indirect estimation of parameters of economic models. Parallel algorithms of global optimization to identify the parameters of these models are...

Pena's method of construction of a synthetic indicator is very sensitive to the order in which the constituent variables (whose linear aggregation yields the synthetic indicator) are arranged. Due to this, Pena's method can at present give only an arbitrary synthetic indicator whose...

We consider the basic problem of refi tting a time series over a finite period of time and formulate it as a stochastic dynamic program. By changing the underlying Markov decision process we are able to obtain a model that at optimality considers historical data as well as forecasts of future...

We use a behavioural microsimulation model embedded in a numerical optimization procedure in order to identify optimal (social welfare maximizing) tax-transfer rules. We consider the class of tax-transfer rules consisting of a universal basic income and a tax defined by a 4th degree polynomial....