The collection of information necessary fordecision-making is often delegated to agents (e.g. bureaucrats,advisors, lawyers). If both the pros and cons of a decision haveto be examined, it is better to use competing agents instead of asingle agent. The reason is that two conflicting pieces...

We provide an explanation why centralisation of political decision makingresults in overspending in some policy domains, whereas too low spending persists in others.We study a model in which delegates from jurisdictions bargain over local public goods provision.If all of the costs of public...

The paper revisits the problem of wage bargaining between a firm and multiple workers. We show that the Subgame Perfect Equilibrium of the extensive-form game proposed by Stole and Zwiebel (1996a) does not imply a profile of wages and profits that coincides with the Shapley values as claimed in...

This paper examines the consequences of creating a fully competitive market in a sector previously dominated by a cost-minimizing public firm. Workers in the economy are heterogeneous in their intrinsic motivation to work in the sector. In line with empirical findings, our model implies that...

The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...

A major economic reason for the introduction of the euro was its supposedly positive effect on intra-EMU trade. Existing studies examine this suspicion indirectly using non-EMU data and report ambiguous results. We estimate the euro-effect directly from data that include EMU observations. Using...

We study the performance of two analytical methods and one simulation method for computing in-sample confidence bounds for time-varying parameters. These in-sample bounds are designed to reflect parameter uncertainty in the associated filter. They are applicable to the complete class of...

We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...

The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...