The need for studying large scale power systems is increasing due to long distance power transfers, common power markets and planning of highly interconnected areas. Large systems are difficult to handle if not reduced. This paper focuses on reduction techniques already applied on power system models in order to achieve better calculation performance, easier handling of large amount of data and...

I propose a technique, counting ‘equations’ and ‘unknowns’, for determining when the posterior distributions of the parameters of a linear regression process converge to their true values. This is applied to examples and to the infinite-horizon optimal control of this linear regression process with learning, and in particular to the problem of a monopolist seeking to maximize profits with unkno...

The German public sector is confronted with drastically increasing household deficits. Yet, a coherent concept of reorganizing public enterprises and administrations does not seem to be being applied, At the same time, economic models often appear too abstract or too complicated to be applied by practicioners. Some general guidelines must therefore be developed that are in line with economic re...

In this paper, we undertake the first examination of the effects of personality on individual economic choices over public environmental goods, using a stated preference approach. Based on three data sets from three separate choice modelling studies, we examine the effects of personality on preferences for the status quo, for changes in environmental quality, and over the costs of investing in ...

Nearly ten years after the implementation of Medicare's Prospective Payment System (PPS), some of its major impacts remain hard to explain using existing economic models. We develop a simple model of the hospital's choice of intensity of care, which affects demand for admissions. The model suggests an important role for the level of prospective payment, independent of the effect of marginal inc...

Humans and animals are exquisitely, though idiosyncratically, sensitive to risk or variance in the outcomes of their actions. Economic, psychological, and neural aspects of this are well studied when information about risk is provided explicitly. However, we must normally learn about outcomes from experience, through trial and error. Traditional models of such reinforcement learning focus on le...

This paper studies a class of multidimensional screening models where different type dimensions lie on the real line. The paper applies preservation results of totally positive functions to show that some critical properties of the distributions of asymmetric information parameters, such as increasing hazard rate, monotone likelihood ratio, and unimodality are preserved under convolution and/or...

The breakdown of the Bretton Woods system and the adoption of generalized ‡oating exchange rates ushered in a new era of exchange rate volatility and uncertainty. This increased volatility lead economists to search for economic models able to describe observed exchange rate behavior. The present is a technical Appendix to Cerrato et al. (2009) and presents detailed simulations of the proposed m...

Health Technology Assessment (HTA) often results in different coverage recommendations across countries for a same medicine despite similar methodological approaches. This paper develops and pilots a methodological framework that systematically identifies the reasons for these differences using an exploratory sequential mixed methods research design. The study countries were England, Scotland, ...

The UN sustainable development goals contain environmental, economic, and social objectives. They may only be reached, or at least it would be easier to reach them, if instead of a trade-off between these objectives that implies a need for balancing them, there are synergies to be reaped. This paper discusses how the structures of economic models typically used in policy analysis influence whet...