Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.Read moreRead less
Designing better soil quality indexes to improve land and environmental management. This project will develop sound methods for capturing diverse soil quality attributes in summary soil quality indexes to facilitate wiser land and environmental management. The project will generate benefits through: 1) improvements in the sustainability of our agricultural industries by providing better tools for matching soils with crops and for more efficient chemical input use on farms, 3) improvements in env ....Designing better soil quality indexes to improve land and environmental management. This project will develop sound methods for capturing diverse soil quality attributes in summary soil quality indexes to facilitate wiser land and environmental management. The project will generate benefits through: 1) improvements in the sustainability of our agricultural industries by providing better tools for matching soils with crops and for more efficient chemical input use on farms, 3) improvements in environmental water quality through reductions in nonpoint source pollution from agriculture, 3) tools for monitoring the recovery of degraded agricultural or mining soil resources, and 4) better conservation contract design.Read moreRead less
Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset ....Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset classes, and Value at Risk (VaR) thresholds. The innovative methods and models will permit both financial institutions and regulatory authorities to model VaR thresholds more accurately, and enable investment managers to regulate and benchmark their portfolios more effectively against international best practice.
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