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...

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...

Bundling under monopoly tends to increase demand and market efficiency, but likely at the expense of transferring consumers' surplus to firms. Public utilities can use this increase in demand to reduce the monthly fee per consumer. To demonstrate it, I conduct a numerical analysis of the effects...

Active labour market policies (ALMPs), which are primarily addressed to integrate (or reintegrate) into the labour market those who are on the edge of unemployment, are generally analysed in the context of a macroeconomic approach or within a micro-econometric model. A critique of the usual...

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...

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...

The paper describes a spatial economic agent-based model (ABM), consistent with the principles of new economic geography (NEG), which allows the discrete-time evolutionary simulation of complex interactions of household and firm location choices. In contrast with the current ABM approaches, it...

Innovations, be they radical new products or technology improvements are widely recognized as a key factor of economic growth. To identify the factors triggering innovative activities is a main concern for economic theory and empirical analysis. As the number of hypotheses is large, the process...

This paper improves the estimation procedure of the Multifractal Random Walk model by means of an optimal iterated Generalized Method of Moments (GMM) estimator using an enhanced moments function. We report good estimation results within the scope of a Monte Carlo simulation study, with normally...