The full Bayesian treatment of error component models typically relies on data augmentation to produce the required inference. Never stricly necessary a direct approach is always possible though not necessarily practical. The mechanics of direct sampling are outlined and a template for including...

Student achievement has been identified as an important contributor to economic growth. This paper investigates the hypothesis that redistributive government activities have a negative effect on investment in human capital using data from international comparative student achievement tests in...

In this paper we study the determinants of citizens' trust in the European Central Bank during the start-up phase from 1999-2004. Using a country panel based on the Eurobarometer survey, we find that higher inflation rates reduce trust. Thus people appear to evaluate the performance of the ECB...

We propose a panel regression model with a predetermined and fixed number of classes, where each class is defined by its parameters, but any reference as to which group any observation belongs to is absent. The classes or groups are rationalized by a willingness to attribute some of the observed...

In this paper we study the determinants of citizens’ trust in the European Central Bank during the start-up phase from 1999-2004. Using a country panel based on the Eurobarometer survey, we find that higher inflation rates reduce trust. Thus people appear to evaluate the performance of the ECB...

Student achievement has been identified as an important contributor to economic growth. This paper investigates the hypothesis that redistributive government activities have a negative effect on investment in human capital using data from international comparative student achievement tests in...

The effect of economic incentives on worker absenteeism is analyzed using panel data on work absence behavior for each day during 1990 and 1991 (i.e. 730 observations in the time dimension) for a representative sample of 1,396 Swedish blue collar workers. During the observed time period, a major...

The full Bayesian treatment of error component models typically relies on data augmentation to produce the required inference. Never stricly necessary a direct approach is always possible though not necessarily practical. The mechanics of direct sampling are outlined and a template for including...

In this paper we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in a sample space. We study the performance of our tests by...

This paper studies a class of Markov models which consist of two components. Typically, one of the components is observable and the other is unobservable or 'hidden'. Conditions under which (a form of) geometric ergodicity of the unobservable component is inherited by the joint process formed of...