We develop and experiment with new upper bounds for the constrained maximum-entropy sampling problem. Our partition bounds are based on Fischer's inequality. Further new upper bounds combine the use of Fischer's inequality with previously developed bounds.

We propose in this paper a framework based on a canonical representation of the long run matrix, which can constitute a basis for Granger non-causality testing in a VAR-ECM model using asymptotically Chi-square distributed Wald test statistics, and that unlike Giannini and Mosconi (1992),...

We show that the empirical process of the squared residuals of an ARCH(p) sequence converges in distribution to a Gaussian process B (F(t)) + tf(t)E , where F is the distribution function of the squared innovations, f its derivative, {B(t), 0= t = 1} a Brownian bridge and E a normal random...

We compare the random preference, Fechner, and constant error (or "tremble") approaches to the stochastic modelling of choice under risk. Various combinations of these approaches are used with expected utility and rank-dependent theory to generate a set of econometric models. These are estimated...

We compare the random preference, Fechner, and constant error (or "tremble") approaches to the stochastic modelling of choice under risk. Various combinations of these approaches are used with expected utility and rank-dependent theory to generate a set of econometric models. These are estimated...

The paper summarizes my experience in teaching an undergraduate course in game theory in 1998. Students were required to submit two types of problem sets: pre-class problem sets, which served as experiments, and post-class problem sets, which require the students to study and apply the solution...