analysis. A simulation from the design of the data provides reassurance of the reliability of the proce …

Markov decision processes. The resulting multivariate probit models are estimated using Markov Chain Monte Carlo techniques. …

There are different views on the specifications of market share models between economists and marketing researchers …. The paper made a multi-criteria comparison between the two well-known demand system models, the AIDS and Translog model … that are subject to the symmetry and homogeneity restrictions, and the two-market response models in which the symmetry and …

Recent work on spatial models of commercial fishing has provided insights into how spatial regulatory policies (i … models depict fishermen as if they are ignoring how a location choice on the first day of a cruise may have potentially … conventionally used in static models but is entrenched in the principals of dynamic optimization (BellmanÕs principle). Using Monte …

most prevalent structures to account for intertemporal correlations in limited dependent variable models. An example from … models - and a broader class formulated in the framework of nonlinear state space models - hampers their widespread use. This … models and suggests that a straightforward algorithm based on sequential Gaussian quadrature can be expected to perform well …