Elasticities are often estimated from the results of demand analysis however, drawing inferences from them may involve assumptions that could influence the outcome. In this paper we investigate one of the most common forms of elasticity which is defined as a ratio of estimated relationships and...

This paper analyzes the quality of life over time in the U.S. In this paper we propose a statistical cluster analysis method based on an informationbased measure. This method is then employed to cluster diverse attributes of the quality of life. Aggregate annual measures of welfare are computed...

This paper presents an application of Data Envelopment Analysis (DEA) to energy audit data by defining climate control systems as production processes. This method is proposed as an alternative to the use of regression based models which have been used in previous analyses of this type of data....

Time of day (TOD) rates are a commonly used method for peak load pricing of many services. Such services as; electricity, communications, transportation, shared computer facilities, and computer networks (i.e. the Internet), either use, or will use, some form of TOD pricing. However, TOD rates...

Over the last few decades there have been significant increases in student enrolments in Australian non-government schools. It has been suggested that this growth has been the outcome of government subsidies to non-government schools. Despite this significant funding school fees have also been...

In this paper we demonstrate the construction of inverse test confidence intervals for the turning points in estimated nonlinear relationships by the use of the marginal or first derivative function. First, we outline the inverse test confidence interval approach. Then we examine the...

The good health of an individual is a combination of uncontrollable factors that includes genetics and random events and controllable factors through the regulation of activities such as smoking, drinking, eating, exercise and other informed choices. Since the work of Grossman (1972) a...

Regression specifications in applied econometrics frequently employ regressors that are defined as the product of two other regressors to form an interaction. Unfortunately, the interpretation of the results of these models is not as straight forward as in the linear case. In this paper, we...

One form of data reduction is cluster analysis which is used to separate detailed data into consistuent groups. In this paper we illustrate a useful application of cluster analysis to the data reduction of detailed discrete responses of a type that are often found in large surveys.

Regression specifications frequently employ regressors that are defined as the product of two other regressors to form an interaction. Unfortunately, these models have a number of potential difficulties when it comes to interpretation. In this paper, we discuss two common aspects of these...