The diffusion of renewable electricity generating technologies is widely consid- ered as crucial for establishing a sustainable energy system in the future. However, currently the required transition is unlikely to be achieved by market forces alone. For this reason, many countries implement...

Discrimination of women in the labor market requires appropriate policy interventions. Affirmative action policies typically advocate the introduction of an employment quota uniformly applied to all firms. In a heterogeneous labor market such a policy may yield avoidable welfare losses. We...

The risk of catastrophes is one of the greatest threats by climate change. Yet, the most common Integrated Assessment Models produce the counterintuitive result that a higher concern about climate change risks does not lead to stronger near-term abatement efforts. This paper probes whether this...

Popular link functions often fit skewed binary data poorly. We propose the log-Burr link as flexible alternative. The link nests the complementary-log-log and logit link as special cases, determined by a shape parameter which can be estimated from the data. Shrinkage priors are used for the...

I construct risk-sensitive approximations of policy functions of DSGE models around the stochastic steady state and ergodic mean that are linear in the state variables. The method requires only the solution of linear equations using standard perturbation output to construct the approximation and...

In some circumstances a decision maker, expert, in a group decision making problem cannot express his/her preferences with a unique linguistic fuzzy preference because he/she is dubious into some preferences. In this paper, we present a consensus model for group decision making problems with...

Insurance companies have to estimate reserves and provisions to cover the payment of either unreported claims or unsettled claims. In this paper, we apply the Chain-Ladder method to obtain a point estimate of reserves, and then we use the bootstrap technique to estimate the margin of error and...

The simulation has proved a particularly effective and powerful technique to evaluate different alternatives for solving problems, without being required actual experimentation. It is particularly useful for decision-making when you want to organize jobs in an organization where there are...

Manufacturing companies require radical changes to achieve the required quantity and quality of their products and respond to market needs quickly. This issue is essential for a correct selection of the planning and control of production. The practical application of a specific tool depends on...

Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from...