A predictor is asked to rank eventualities according to their plausibility, based on past cases. We assume that she can form a ranking given any memory that consists of finitely many past cases. Mild consistency requirements on these rankings imply that they have a numerical representation via a...

In this paper, we study maximum likelihood estimation and Lagrange multiplier testing of a one-way error components regression model suitable for incomplete panel and including parametrically specified variance functions for both individual-specific and general error disturbances.

This paper proposes alternative methods for constructing estimators from accept-reject samples by incorporating the variables rejected by the algorithm.

We propose a nonparametric estimation technique of the coefficients of an univariate diffusion process. The estimation is done with a process observed at random times, corresponding to the crossing times of discrete levels. We first estimate the scale function of the process, which allows to...

This paper synthesises a global approach to both Bayesian and likelihood treatments of the estimation of the parameters of a hidden Markov model for the cases of normal and Poisson underlying distribution.

The literature of commodity supply functions is characterized by explanatory variables which are either current of lagged prices. This study not only underlines the existence of other equally or more important factors but also emphasize their explicit incorporation in estimation.

This paper puts forth a concept of Adptivety Rational Equilibrium (A.R.E) where agents base decisions upon predictions of future values of endogenous variables whose actual values are determined by equilibrium equations.