Several lessons learned from a Bayesian analysis of basic economic time series models by means of the Gibbs sampling algorithm are presented. Models include the Cochrane-Orcutt model for serial correlation, the Koyck distributed lag model, the Unit Root model, the Instrumental Variables model...

During the last decade The Netherlands witnessed an increase in the pace of job creation and job destruction. A sensitivity analysis using an empirical model of labour market flows shows thatthe congestion in the matching process due to the increase in the pace of job creation and destruction...

Induced innovation and associated issues of path dependence and inertia are of critical importance in the transition to a carbon free economy. We develop a model that, instead of modeling these processes themselves, models the implications of these characteristics and in the process allows us to...

We explore how optimal emission abatement trajectories are affected by dynamic characteristics of greenhouse-gas emitting systems, such as inertia, induced innovation, and pathdependency, by formulating a compact and analytically tractable model with stylized damage assumptions to derive the...

We present a structural framework for the evaluation of public policies intended to increase job search intensity. Most of the literature defines search intensity as a scalar that influences the arrival rate of job offers; here we treat it as the number of job applications that workers send out....