In this paper we develop Bayesian tools for estimating multi-output production frontiers in applications where only input and output data are available. Firm-specific inefficiency is measured relative to this frontier. Our work has important differences from the existing literature, which either...

This paper deals with the issue of modeling daily catches of fishing boats in the Grand Bank fishing grounds. We have data on catches per species for a number of vessels collected by the European Union (EU) in the context of the Northwest Atlantic Fisheries Organization (NAFO). Many variables...

Many production processes yield both good outputs and undesirable ones (e.g. pollutants). In this paper, we develop a generalization of a stochastic frontier model which is appropriate for such technologies. We discuss efficiency analysis and, in particular, define technical and environmental...

We develop Bayesian methods of analysis for a new class of Threshold Autoregressive models: Endogenous Delay Threshold. We apply our methods to the commonly used sunspot data data set and find strong evidence in favor of the EDTAR model over linear and tranditional threshold autoregressions.

This paper has two main purposes. Firstly, we develop various ways of defining efficiency in the case of multiple output production. We specifically consider the case where some of the outputs are undesirable, such as pollutants. We investigate how these efficiency definitions relate to one...

We examine the pricing of initial public offering (IPO), seasoned equity offering (SEO) and post-chapter 11 firms using a stochastic frontier methodology. The stochastic frontier framework allows us to model "inefficiency" or the difference between a firm's maximum predicted and its actual...

This paper uses data from 11 countries for 19 years to investigate the forces driving output change in 6 manufacturing sectors. A stochastic production frontier model is adopted which allows for the decomposition of output changes into three types of change: technical, efficiency and input. This...

We examine dynamic asymmetries in US unemployment using non-linear time series models and Bayesian methods. We find strong statistical evidence in favour of a two regime threshold autoregressive model. Empirical results indicate that, once we take into account both parameter and model...