Despite being widely used in health economics, dynamic models of health and healthcare typically assume that the persistence in these outcomes is the same for every individual. Understanding the extent and drivers of heterogeneity in persistence is essential for the design and evaluation of...

A model is considered in which optimal search intensity is a result of a tradeoff between short-run losses due to higher search costs (more interviews, commuting?) and long-run gains due to a higher chance of finding a job. We show that this optimal search intensity is higher in areas...

This paper examines patterns in overeducation between countries using a specifically designed panel dataset constructed from the quarterly Labour Force Surveys of 28 EU countries over a twelve to fifteen year period. It is not the case that overeducation has been rising rapidly over time in all...

A model is considered in which optimal search intensity is a result of a tradeoff between short-run losses due to higher search costs (more interviews, commuting…) and long-run gains due to a higher chance of finding a job. We show that this optimal search intensity is higher in areas...

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect....

This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect....

With the increased availability of longitudinal data, dynamic panel data models have become commonplace. Moreover, the properties of various estimators of such models are well known. However, we show that these estimators breakdown when the data are irregularly spaced along the time dimension....

This paper analyzes the impact of load factor, facility and generator types on the productivity of Korean electric power plants. In order to capture important differences in the effect of load policy on power output, we use a semiparametric smooth coefficient (SPSC) model that allows us to model...

We discuss important features and pitfalls of panel-data event study designs. We derive the following main results: First, event study designs and distributed-lag models are numerically identical leading to the same parameter estimates after correct reparametrization. Second, binning of effect...

We propose a novel procedure, built within a Generalized Method of Moments framework, which exploits unpaired observations (singletons) to increase the efficiency of longitudinal fixed effect estimates. The approach allows increasing estimation efficiency, while properly tackling the bias due to...