In this paper, we present the general contribution of n-person game in turbulent environment of parliamentary coalitions. Same basic data about the coalition form and the characteristic function is necessary in order to connect n-person game theory and behavioral game theory. Taking the Norway...

This paper provides a systematic analysis on the employment effects after merger and acquisition activities for a sample of European production firms. Rather than taking the perspective of the acquired firm, which has been extensively addressed in previous research, this paper focuses on the...

This milestone provides a broad overview of model development under Work Package 205 of the WWWforEurope project. It describes briefly the challenge of modelling combined economic, ecological and financial systems and sets out a series of objectives for modelling the socio-economic transition...

This paper discusses how central banking is evolving in light of recent experience, with particular emphasis on the incorporation of uncertainty into policy decision-making. The sort of post-crisis uncertainty that central banks are dealing with today is more profound than that which is...

This paper examines the key elements of the quantitative content analysis developed by the scientist Philip Mayring as a method of data evaluation. First, the circular research process is presented to explain the application of this method for scientific interviews in student theses. The content...

Assessing the state of the economy in real time is critical for policy-making, and understanding the risks to those assessments is equally important. Policy-makers are typically provided with point forecasts that contain insufficient information about risks. In contrast, predictive densities...

We provide an update on the impact the COVID-19 pandemic on the demand for cash and the use of methods of payment based on data from the Bank Note Distribution System and from consumer surveys conducted in April and August 2021. Our key findings are as follows: Cash in circulation remained high...

Models with structured additive predictor provide a very broad and rich framework for complex regression modeling. They can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster specific heterogeneity, spatial heterogeneity and complex interactions between...