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Research Topic : Road Public Transport
Australian State/Territory : WA
Field of Research : Health Economics
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  • Funded Activity

    Discovery Projects - Grant ID: DP0987089

    Funder
    Australian Research Council
    Funding Amount
    $60,000.00
    Summary
    Cataract and crash risk for older drivers: evidence from a population based study. Older drivers are the fastest growing segment of the driving population, which has implications for road safety. The removal of cataract is a common surgical procedure for older drivers, therefore, it is necessary to determine the effects of cataract surgery on crash risk. This project will be the largest population based study to examine crash risk for older drivers with cataract and the cost-effectiveness in ter .... Cataract and crash risk for older drivers: evidence from a population based study. Older drivers are the fastest growing segment of the driving population, which has implications for road safety. The removal of cataract is a common surgical procedure for older drivers, therefore, it is necessary to determine the effects of cataract surgery on crash risk. This project will be the largest population based study to examine crash risk for older drivers with cataract and the cost-effectiveness in terms of a reduction in crashes. The development of effective countermeasures will have direct relevance for road safety, medical practitioners and licensing authorities in Australia and is also pivotal to reducing the financial burden associated with older driver crashes.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100748

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100743

    Funder
    Australian Research Council
    Funding Amount
    $341,000.00
    Summary
    Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin .... Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.
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    Funded Activity

    Discovery Projects - Grant ID: DP150102053

    Funder
    Australian Research Council
    Funding Amount
    $668,900.00
    Summary
    Nutrition insecurity and livelihood decision-making in rural Myanmar. Global progress against malnutrition has been too slow to allow the Millennium Development Goals on hunger to be met. International research has proposed that these failures are due to the fact that the livelihood options available to poor households are increasingly misaligned from their traditional channels for ensuring food and nutrition security. This argument is highly influential in international development research, un .... Nutrition insecurity and livelihood decision-making in rural Myanmar. Global progress against malnutrition has been too slow to allow the Millennium Development Goals on hunger to be met. International research has proposed that these failures are due to the fact that the livelihood options available to poor households are increasingly misaligned from their traditional channels for ensuring food and nutrition security. This argument is highly influential in international development research, underpinning calls for nutrition-sensitive development interventions. The aim of this project is to test the proposition using original survey data collected from 1 600 households in rural Myanmar. This will be the first project of this kind, aiming to shed crucial insight into this issue at this vital moment in Myanmar's transition.
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