Canadian oil sands hold the third largest recognized oil deposit in the world. While the rapidly expanding oil sands industry in western Canada has driven economic growth, the extraction of the oil comes at a significant environmental cost. It is believed that the government policies have failed...

We identify necessary and sufficient conditions under which a finite data set of price vectors and consumption bundles can be rationalized by a weakly separable utility function.  Our result could be understood as a generalization of Afriat's Theorem.

Consider a finite data set of price vectors and consumption bundles; under what conditions will there be a weakly separable utlity function that rationalizes the data?  This paper shows that rationalization in this sense is possible if and only if there exists a preference order on some finite...

The paper discusses three general classes of nonlinear programming models. Our objective is to show how to represent optimization problem, such as nonlinear programs, in a compact format using extended mathematical programming. This is a useful tool, especially in cases when complementarity...

I develop a simple dynamic model showing how total energy capacity is allocated to two different uses and how these uses and their corresponding energy flows are related and behave through time. The control variable of the model determines the allocation. All the variables of the model are in...

Income per capita is an important and hence widely used measure in the construction of social welfare weights. This paper, however, aims to discuss the construction of social welfare weights based not merely on Income per capita but on equally distributed equivalent income (EDEI). For example,...

This paper introduces an Integrated Economic-Hydrologic water modeling at the basin scale that can provide essential information for policymakers in resource allocation decisions. The model is applied to the Pirapama river basin, in Pernambuco state, Northeast of Brazil. Includes essential...

We reprove a result of J. Bergin on the continuity of the correspondences of probability measures on a product space with restricted marginals. The proof is based on some functorial properties of probability measures. It works also for arbitrary number of coordinate spaces and for non-metrizable...

Linear Methods are often used to compute approximate solutions to dynamic models, as these models often cannot be solved analytically. Linear methods are very popular, as they can easily be implemented. Also, they provide a useful starting point for understanding more elaborate numerical...

This paper develops a formal framework based on multivariate spectral techniques for assesssing the performance of multivariate dynamic models whose solution is approximated through simulation. The approach is especially suitable for models that focus on a particular frequency range , such as...