This chapter compares the performance of the maximum simulated likelihood (MSL) approach with the composite marginal likelihood (CML) approach in multivariate ordered-response situations. The ability of the two approaches to recover model parameters in simulated data sets is examined, as is the...

This paper offers a methodology to assess the internal productive efficiency of National Regulatory Authorities (NRAs) based on the performances of regulated markets, measured in terms of the degree of market efficiency (either static or dynamic). The estimation procedure is based on a Data...

State space models provide a useful stochastic description for dynamic phenomena, based on unobserved or latent variables. When the model rests on linear and Gaussian assumptions there exists a well-known iterative procedure, called the Kalman filter, which gives analytic updating recursion for...