1 We present efficient partial differential equation (PDE) methods for continuous time mean2 variance portfolio allocation problems when the underlying risky asset follows a stochastic 3 volatility process. The standard formulation for mean variance optimal portfolio allocation 4 problems gives rise to a two-dimensional non-linear Hamilton-Jacobi-Bellman (HJB) PDE. We 5 use a wide stencil metho...

Data envelopment analysis (DEA) is an axiomatic, mathematical programming approach to productive efficiency analysis and performance measurement. This paper shows that DEA can be interpreted as a nonparametric least squares regression subject to shape constraints on production frontier and sign constraints on residuals. Thus, DEA can be seen as a nonparametric counter-part of the corrected ordi...

This paper extends the existing research on real estate investment trust (REIT) operating efficiencies. We estimate stochastic-frontier, panel-data models specifying a translog cost function. The specified model updates the cost frontier with new information as it becomes available over time. The model can identify frontier cost improvements, returns to scale, and cost inefficiencies over time....

We examine the cost structure of public schools in this paper, using frontier cost models that enable us to estimate sources of inefficiency. A two equation stochastic frontier model is presented that can be used to explain both cost and the sources of inefficiency. Using that model and data for public schools in Nebraska over the period 1989-92, we estimate cost frontiers for the districts. Es...

The aim of this paper is to analyze total factor productivity (TFP) growth and its components in Asian countries applying Stochastic Frontier Analysis (SFA) to the time series data of 44 Asian countries from 2000 to 2010. Using Battese and Coelli approach, TFP is divided into technical efficiency change and technical change. TFP decomposition using SFA method for the years 1998 to 2007 indicate...