The purpose of this paper is to introduce a frontier model for productivity measurement that explicitly recognizes that some inputs are produced and consumed within the production technology. Here we differ from Koopmans (1951) by assuming that the intermediate inputs may also be final output....

Many numerical methods have been developed in an attempt to find solutions to nonlinear rational expectations models. Because these algorithms are numerical in nature, they rely heavily on computing power and take sizeable cycles to solve. In this paper we present a numerical tool known as...

In this study, we take a method presented in an earlier paper, called a tensor method, and apply it to the computation of constrained FIML estimates. This technique is based upon a fourth order approximation to the log-likelihood function, rather than the second order approximation used in...

The transportation domain is presented as a multi-agent scenario and the use of techniques of Distributed Artificial Intelligence (DAI) for solving cooperatively the hard problems that occur in this domain are demonstrated. After a motivation and a description of the domain we will address...

For simultaneous equations models, estimates from ordinary least squares (OLS) methods are biased and even inconsistent and those from two-stage least squares (2SLS) methods are, though consistent, still inadequate because of finite sample biases. A new simulation technique developed here...

Many economic models can be formulated as a system of nonlinear equations and solved numerically using a black-box equation solver found in software packages such as EUREKA or MATHEMATICA. Unfortunately, black-box solvers can fail for several reasons and the messages displayed upon termination...