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
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.Read moreRead less
Government, Institutions and Economic Activity: A Long Term Analysis. Using national and regional data for 30 to 50 countries over multiple centuries, this project will examine the effects of itemised government expenditure and revenue on productivity, investment, saving, labour force participation and research and development. The results are expected to shed light on the macroeconomic effects of different revenue and spending categories (education, transfers, and so on). In addition, the proje ....Government, Institutions and Economic Activity: A Long Term Analysis. Using national and regional data for 30 to 50 countries over multiple centuries, this project will examine the effects of itemised government expenditure and revenue on productivity, investment, saving, labour force participation and research and development. The results are expected to shed light on the macroeconomic effects of different revenue and spending categories (education, transfers, and so on). In addition, the project aims to determine which factors have been responsible for the increase of government size over the past two centuries. The results aim to further reveal which government revenue and expenditure items are most conducive to economic welfare and growth.Read moreRead less
Infrastructure project delivery: a life cycle evaluation model for public private partnerships. Governments continue to embrace public-private partnerships so as to obtain value for money and provide financial accountability to taxpayers. This project will determine the most appropriate way to engage the private sector in infrastructure delivery and develop a dynamic life cycle evaluation model to ensure projects are delivered effectively and efficiently.
Restoring State income taxation in Australia. This project aims to investigate the many design and implementation issues that would need addressing if State income taxation was restored in Australia. This issue has been debated for many decades since the Commonwealth assumed responsibility for income tax collection in 1942 as a wartime measure. The project’s highly innovative approach will involve interdisciplinary and comparative research, involving Australia, Canada, and the United States ....Restoring State income taxation in Australia. This project aims to investigate the many design and implementation issues that would need addressing if State income taxation was restored in Australia. This issue has been debated for many decades since the Commonwealth assumed responsibility for income tax collection in 1942 as a wartime measure. The project’s highly innovative approach will involve interdisciplinary and comparative research, involving Australia, Canada, and the United States and as well as an analysis of tax sharing arrangements in Germany. This project will contribute to understanding the policy issues associated with States access to revenue sources and provision of key social services.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less
Labour Market and Health Dynamics of Australia's Front Line Workers. Australia’s front line workers are there in times of greatest need, but face significant health risks. These risks are expected to increase with the predicted growth in natural disasters, and these concerns have been heightened by the COVID-19 pandemic. This project will apply econometric methods to population-based administrative data to study (1) the determinants and patterns of recruitment and retention into these occupation ....Labour Market and Health Dynamics of Australia's Front Line Workers. Australia’s front line workers are there in times of greatest need, but face significant health risks. These risks are expected to increase with the predicted growth in natural disasters, and these concerns have been heightened by the COVID-19 pandemic. This project will apply econometric methods to population-based administrative data to study (1) the determinants and patterns of recruitment and retention into these occupations, (2) how labour market and health outcomes are impacted by exposure to major disasters; and (3) the impact of the pandemic on labour market and health outcomes. The project will provide insights that can inform policies designed to protect the health of front line workers and meet future workforce demands.Read moreRead less
Improving social and economic outcomes for children of incarcerated mothers. This project aims to identify how children’s experiences of maternal incarceration shape their life course. These children are one of the most vulnerable yet invisible groups in society and are rising in number. This project intends to interrogate system contact with child protection, justice, education and health agencies using a unique linked dataset across 30 years and over three generations, to describe social and e ....Improving social and economic outcomes for children of incarcerated mothers. This project aims to identify how children’s experiences of maternal incarceration shape their life course. These children are one of the most vulnerable yet invisible groups in society and are rising in number. This project intends to interrogate system contact with child protection, justice, education and health agencies using a unique linked dataset across 30 years and over three generations, to describe social and economic outcomes and how prison, child and maternal characteristics affect them. The project expects to provide critical evidence that can inform prevention strategies, with the potential to disrupt intergenerational patterns of profound disadvantage and reduce the social and economic costs of maternal incarceration to individuals and society.Read moreRead less
Storage and the Hotelling Valuation Principle: Understanding the Dynamics of the Oil Industry. Understanding the economics of the oil market is important for understanding the shift toward smaller, more fuel-efficient motor vehicles and less fuel-intensive farming techniques. A better understanding of fundamental oil price processes will lead to more accurate oil price forecasting and hence more accurate pricing of oil derivatives (options, futures and swaps) and improved risk management (e.g. ....Storage and the Hotelling Valuation Principle: Understanding the Dynamics of the Oil Industry. Understanding the economics of the oil market is important for understanding the shift toward smaller, more fuel-efficient motor vehicles and less fuel-intensive farming techniques. A better understanding of fundamental oil price processes will lead to more accurate oil price forecasting and hence more accurate pricing of oil derivatives (options, futures and swaps) and improved risk management (e.g. airlines hedging the cost of their jet fuel needs). Read moreRead less
Climate Change, Industrial Structure and the Knowledge Economy: Key Issues for an Effective Response on Greenhouse Gases. The objectives of this project are to undertake a major, long term study of the impact of global structural change on greenhouse gas emissions and on climate change, and to develop a detailed knowledge base concerning trade in embodied emissions. It is hoped that the knowledge generated will both inform global responses to this vital problem and contribute to the continuing d ....Climate Change, Industrial Structure and the Knowledge Economy: Key Issues for an Effective Response on Greenhouse Gases. The objectives of this project are to undertake a major, long term study of the impact of global structural change on greenhouse gas emissions and on climate change, and to develop a detailed knowledge base concerning trade in embodied emissions. It is hoped that the knowledge generated will both inform global responses to this vital problem and contribute to the continuing development of effective responses within Australia. The output - a book and many papers - will be directed in part to contribute to the IPCC's Fourth Assessment Report.Read moreRead less