Tests for serial independence and goodness-of-fit based on divergence notions between probability distributions, such as the Kullback-Leibler divergence or Hellinger distance, have recently received much interest in time series analysis. The aim of this paper is to introduce tests for serial...

In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...

I consider a situation in which heterogenous senders (applicants) compete in order to be selected by one receiver (employer). Productivity is private information to the senders, and the receiver processes imperfect signals (applications) to screen among applicants. The information-processing...

This study presents a dynamic model for the private equity market in which information revelation and uncertainty rationally explain the cyclical pattern of investment flows into private equity. The net benefit of private equity over public equity is i) uncertain and ii) agents have private...

An increase in cartel discovery probability due to irregular price movements that result from cartel defection is shown to increase cartel stability as short-run defection profits are less likely to be earned.

In this paper we study how congestion and residential movingbehaviour are interrelated using a two-region job search model. Workerschoose optimally between interregional commuting and residential movingto live closer to the place of work. This choice affects the external costs ofcommuting due to...

This paper presents an empirical examination of oligopoly pricingand consumer search. The theoretical model allows for sequential andnon-sequential search and using the theoretical restrictions firm andconsumer behavior impose on the data we study the empirical validity of themodels. Two...