Estimating Distributional Impacts of an Innovation Across Sectors in an Industry: A case study of the Australian wool industry

In this paper an approach that can be used to determine the distribution of a productivity gain on an industry is detailed. In particular, the model developed in this paper extends earlier evaluations by emphasising the crucial role of substitution between inputs across different participants in the supply chain. Crucial to any analysis of an industry are the estimates of the elasticity's of derived demand at each stage and how it changes, as the product is further refined. The wool industry is used to illustrate the effects of an innovation across sectors.Agribusiness, Production Economics,

Biogas appliances in Sub-Sahara Africa

Acknowledgement The authors are grateful to DFID for the financial support granted through The New and Emerging Technologies Research Competition (NET-RC). We also want to thank numerous authors, staff at CREEC and Uganda Domestic program who work tirelessly to provide the know-how, books, articles on biogas technology whose works were made reference to.Peer reviewedPostprin

The long memory model of political support: some further results

This paper extends the results of Byers, Davidson and Peel (1997) on long memory in support for the Conservative and Labour Parties in the UK using longer samples and additional poll series. It finds continuing support for the ARFIMA(0,d,0) model though with somewhat smaller values of the long memory parameter. We find that the move to telephone polling in the mid-1990s has no apparent effect on the estimated value of d for either party. Finally, we find that we cannot reject the hypotheses that the parties share a common long memory parameter which we estimate at around 0.65.

Modified optimal control pilot model for computer-aided design and analysis

This paper presents the theoretical development of a modified optimal control pilot model based upon the optimal control model (OCM) of the human operator developed by Kleinman, Baron, and Levison. This model is input compatible with the OCM and retains other key aspects of the OCM, such as a linear quadratic solution for the pilot gains with inclusion of control rate in the cost function, a Kalman estimator, and the ability to account for attention allocation and perception threshold effects. An algorithm designed for each implementation in current dynamic systems analysis and design software is presented. Example results based upon the analysis of a tracking task using three basic dynamic systems are compared with measured results and with similar analyses performed with the OCM and two previously proposed simplified optimal pilot models. The pilot frequency responses and error statistics obtained with this modified optimal control model are shown to compare more favorably to the measured experimental results than the other previously proposed simplified models evaluated