The analysis of consumer demands is limited by data availability. Typically, aggregate consumption and expenditure data are all that is available to draw conclusions based on the theory of individual consumer behavior. Such limitations are problematic as some demand systems possess non-linear...

In this dissertation a non-parametric method for the measurement of firm efficiency and risk aversion is developed, tested, and applied. This method is a modification of data envelopment analysis (DEA) that allows the user to simultaneously determine the firm's efficiency score while taking the...

The purpose of the present study was to investigate the impact of market structure and physical network constraints on the performance of deregulated wholesale electricity market under demand uncertainty. The problem was formulated as a Mixed Complementarity Problem, and Stochastic Equilibrium...

Demand analysis at an individual level, using survey data, is becoming increasingly popular. While such analysis has many benefits it suffers from computational or econometric difficulties associated with non-consumption, i.e., problems associated with binding non-negativity constraints that...