Cost efficiency modeling in health care foodservice operations

Cost efficiency and cost data in the health care foodservice sector have many interesting features. Traditional productivity approaches and empirical studies are yet to address many of these features, as they are limited to partial ratios and restricted parametric techniques. In this paper, we introduce and demonstrate the Stochastic Frontier Approach to this sector, and analyze the level of cost efficiency and its determinants. The approach is tested in a cross-sectional data set from a sample of 101 health care foodservice operations in Australia and the USA. Results indicate that the average level of cost efficiency is around 76.5% which suggests that health care foodservice operations could reduce their input costs by as much as 23.5% without decreasing their total output. Further, the coefficients of the inefficiency component, estimated simultaneously with the stochastic frontier model, indicate that both the level of manager's experience and the level of manager's education are significant determinants of cost efficiency.     

Recursive residuals for linear mixed models

Quality & Quantity - This paper presents and extends the concept of recursive residuals and their estimation to an important class of statistical models, Linear Mixed Models (LMM). Recurrence...