Many problems in the environmental sciences have a spatial component. This is particularly true when questions arise about how species act and interact at community and regional levels, in response to environmental changes. I make the case for Bayesian hierarchical models to play a dominant role...

This paper deals with subsampling continuous random fields for approximating the distribution of statistics estimating some unknown parameter.

much new work has been devoted to deriving and extending decomposable inequality and poverty measures which bridge the gap between description and analysis by throwing light on the processes undergirding inquality and poverty. For example, an application that has obvious policy relevance in the...

Using two simple stochastic growth models that nest both exogenous and endogenous growth, this paper shows that money should not be neutral in the long run if it is not neutral in the short run and if growth is endogenous. By contrast, if growth is exogenous, money should be neutral in the long...

We decompose a stationary Markov process (X^t) as: X^t = a^o + [Sommation from j=1 to infinity) a^j Z^(j,t), where the Z^j 's processes admit ARMA specifications. These decompositions are deduced from a nonlinear canonical decomposition of the joint distribution of (X^t, X^(t-1)).

Asymmetric kernels are quite useful for the estimation of density functions which have bounded support. Gamma kernels are designed to handle density functions whose supports are bounded from one end only, whereas beta kernels are particularly convenient for the estimation of density functions...

Using two simple stochastic growth models that nest both exogenous and endogenous growth, this paper shows that money should not be neutral in the long run if it is not neutral in the short run and if growth is endogenous. By contrast, if growth is exogenous, money should be neutral in the long...

In hypothesis testing with nuisance parameters present only under the alternative two issues typically arise: (i) critical values are date dependent and so cannot be tabulated; (ii) we need to choose a functional over the nuisance parameter space. We address the first issue by providing easily...

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.