Innovation research has become an important topic in regional science analysis. Yet the modelling base of much innovation research is still feeble. This paper aims to map out the research potential of recent approaches in quantitative complexity analysis, in particular Neural Networks (NNs)...

We examine whether central banks' voting records help predict the future course of monetary policy in the Czech republic, Hungary, Poland, Sweden and the United Kingdom, controlling for financial market expectations. Unlike previous research, first, we examine the period of the global financial...

We examine the evolution of monetary policy rules in a group of inflation targeting countries (Australia, Canada, New Zealand, Sweden and the United Kingdom), applying a moment-based estimator in a time-varying parameter model with endogenous regressors. Using this novel flexible framework, our...

We assess whether the voting records of central bank boards are informative about future monetary policy. First, we specify a theoretical model of central bank board decision-making and simulate the voting outcomes. Three different versions of model are estimated with simulated data: 1)...