In this paper, Markov chain Monte Carlo sampling methods are exploited to provide a unified, practical likelihood-based framework for the analysis of stochastic volatility models. A highly effective method is developed that samples all the unobserved volatilities at once using an approximating...

In recent years simulation-based estimation of multinomial probit (MNP) models has attracted an increasing interest among econometricians. With the help of more powerful and cheaper computers, MNP models have become a well-accepted alternative to multinomial logit (MNL) models that impose the...

This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov Chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the...

In this paper there's a simulation study on evolutionary finance models from Evstigneev/Hens/Schenk-Hoppe and applies the scenario generation algorithm from Hoyland/Kaut/Wallace with moment matching. Further it shows with different dividend models which investment strategies perform best under...

Basic methods to compute the required sample size are well understood and supported by widely available software. However, the sophistication of the sample size methods commonly used has not kept pace with the complexity of the experimental designs most often employed in practice. In this paper,...

Static microsimulation models are based on household micro-data and are designed to estimate the revenue cost and distributional and incentive effects of tax and benefit policy changes. They are invaluable for the design and evaluation of policy reforms. Static models allow us to hold constant...

The aim of this paper is to evaluate whether policy reforms in Austria between 1998 and 2005 were successful in meeting redistributive objectives and in reducing poverty. For the analysis we use the tax/benefit micro-simulation model EUROMOD. Due to the sequence of reforms and the use of two...

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the...

In July 2003 a new Road Code was approved by the Italian parliament. Among many reforms whose validity is not questioned here, the new law states that on three-lane motorways the right lane should not be reserved anymore to slow vehicles alone. As in two-lane roads, all vehicles must now drive...

In the current paper, we study the stability and the survival probabilities of enterprises and banks within a prolonged duration of the debt-crisis, with Monte Carlo simulation. We utilize historical data from banks and enterprises within the debt-crisis to define crisis-variability and...