In this paper, we use a CGE model with endogenous growth to study the interplay between environmental regulation, innovation and sectoral growth. We find that a stringent reduction target for carbon emissions combined with a CO2-tax leads to structural changes. Under the assumption of a...

Sales force management decisions belong to the major issues considered in marketing research. Among others, the alignment of sales territories has been one of the main field of work for years. Recent results have reported a strong impact of the alignment of sales territories on profit, and,...

This study simulates with two dynamic models the macroeconomic and public finance outcomes of a reduction in the corporate income tax rate in Finland. FOG-model is a dynamic CGE model, which is calibrated to the Finnish economy. NiGEM is a multi-country macroeconometric model. The results show...

This paper develops a decomposition algorithm by which a market economy with many households may be solved through the computation of equilibria for a sequence of representative agent economies. The paper examines local and global convergence properties of the sequential recalibration (SR)...

Recently, Branzei, Dimitrov, and Tijs (2003) introduced cooperative interval-valued games. Among other insights, the notion of an interval core has been coined and proposed as a solution concept for interval-valued games. In this paper we will present a general mathematical programming algorithm...

The paper investigates the long-run consequences of a phase-out of nuclear energy for the Swiss economy. We apply the CITE model, a CGE model with fully endogenous growth, and complement it with a bottom-up model. We find that the nuclear phase-out can be achieved at relatively low costs, even...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data. The proposed minimax approach to solve problems with geometrical uncertainty of sample data involves an...

This paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic growth problems. Software is provided.