One of the most pressing problems in the Latvian economy is related to the energy sector. The most characteristic feature is coupled with the low efficiency of thermal energy consumption of households as a result of poor insulation of existing buildings in Latvia. Solving energy sector problems...

In recent years, the OECD has measured the structural rate of unemployment by an indicator called the Non-Accelerating Wage Rate of Unemployment. The NAWRU-indicator is an important element in the policy analysis of the OECD. The rise in the estimated NAWRUs is also taken as evidence that Nordic...

The first three factors resulting from a principal components analysis of term structure data are in the literature typically interpreted as driving the level, slope and curvature of the term structure. Using slight generalisations of theorems from total positivity, we present sufficient...

One of the most pressing problems in the Latvian economy is related to the energy sector. The most characteristic feature is coupled with the low efficiency of thermal energy consumption of households as a result of poor insulation of existing buildings in Latvia. Solving energy sector problems...

Gibbs sampling has had great success in the analysis of mixture models. In particular, the "latent varaible" formulation of the mixture model greatly reduces computational complexity. However, one failing of this approach is the possible existence of almost-absorbing states, called trapping...

Bergin and Lipman (1996) show that the refinement effect from the random mutations in the adaptive population dynamics in Kandori, Mailath and Rob (1993) and Young (1993) is due to restrictions on how these mutation rates vary across population states. We here model mutation rates as...

Computable general equilibrium (CGE)models require both theory and data. The theory underlying our model is standard general equilibrium theory, and details will be provided elsewhere. The sole purpose of this paper is to present in detail the data used to calibrate this model. We have...

In credit risk modelling, jump processes are widely used to describe both default and rating migration events. This work is mainly a review of some basic definitions and properties of the jump processes intended for a preliminary step before more ad vanced lectures on credit risk modelling. We...

We use a unique dataset of bond downgrades from a niche rating company that has been found to be reacting faster to publicly available information than its competitors. Using regime-switching models we propose risk measures to quantify stock return disturbances (distress costs) associated with...

The first three factors resulting from a principal components analysis of term structure data are in the literature typically interpreted as driving the level, slope and curvature of the term structure. Using slight generalisations of theorems from total positivity, we present sufficient...