I consider Gaussian filters based on numerical integration for maximum likelihood estimation of stochastic volatility models with leverage. I show that for this class of models, the prediction step of the Gaussian filter can be evaluated analytically without linearizing the state--space model....

We propose an EM algorithm to estimate ordered probit models with endogenous regressors. The proposed algorithm has a number of computational advantages in comparison to direct numerical maximization of the (limited information) log-likelihood function. First, the sequence of conditional...

The paper considers the problem of computing p-values of non-standard distributions for which the characteristic function is available in closed form. When the characteristic function is a multivalued complex function, the standard numerical inversion method needs to be used with care as the...

Recent policy proposals call for setting up a benchmark indexed bond market to prevent "Sudden Stops". This paper analyzes the macroeconomic implications of these bonds using a general equilibrium model of a small open economy with financial frictions. In the absence of indexed bonds, negative...

In our paper we investigate how network effects influence the dynamics of oligopoly on mature telecommunication markets. The model covers four categories of agents: telecommunication operators, customers joined into housholds and market regulator. The market state aware firms use reinforcement...