A cohort analysis of the demand for meat and the impact of food scares. Australia is the largest beef exporter in the world. In 1999, there were 22.7 million beef cattle, producing 2 million tonnes with a gross value of $4.4 million. To date, Australia has been unaffected by the growing number of major health scares currently plaguing many European and South American countries. Equivalent scares in Australia would be devastating and hence research into the impact of scares on the behaviour of co ....A cohort analysis of the demand for meat and the impact of food scares. Australia is the largest beef exporter in the world. In 1999, there were 22.7 million beef cattle, producing 2 million tonnes with a gross value of $4.4 million. To date, Australia has been unaffected by the growing number of major health scares currently plaguing many European and South American countries. Equivalent scares in Australia would be devastating and hence research into the impact of scares on the behaviour of consumers is of paramount importance. It is the purpose of this research project to quantify the effects of such health/product scares on the demand for meat.
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Nonlinear Panel Data Econometrics: Theory and Practice. This research addresses the ARC National Research Priorities Goal of 'An Environmentally Sustainable Australia', specifically 'Reducing and capturing emissions in transport and energy generation'. Avoiding, managing, and/or adapting to the climate change impacts is now the most pressing global environmental problem. This project will produce tangible and original insights into policy options for institutional adjustment to future climate ....Nonlinear Panel Data Econometrics: Theory and Practice. This research addresses the ARC National Research Priorities Goal of 'An Environmentally Sustainable Australia', specifically 'Reducing and capturing emissions in transport and energy generation'. Avoiding, managing, and/or adapting to the climate change impacts is now the most pressing global environmental problem. This project will produce tangible and original insights into policy options for institutional adjustment to future climate change in Australia; will provide insight into the scope for positive community behavioural change; and possible transformations in Australian social debate to maximise adaptive capacity. It will also strengthen and produce original conceptual approaches and research methods.Read moreRead less
Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk f ....Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk factors, and increase global competitiveness by hedging against competitors' good weather-related advantage. The US weather derivative market, capitalised at over US$7.5b, began just 7 years ago; there is no organised Australian market. This project's smart techniques for improving pricing accuracy will support the development and vigorous growth of a local market.Read moreRead less
Should rational individuals be optimistic? Theory, survey evidence, experimental evidence, and policy implications. This project will help Australian policy makers design better information-revelation policies and will elevate the skill level of Australian research in behavioural economics. Insights we generate about how best to manage the public's expectations will enable policy design that strengthens Australia's social and economic fabric. We will disseminate the recommendations we generate ....Should rational individuals be optimistic? Theory, survey evidence, experimental evidence, and policy implications. This project will help Australian policy makers design better information-revelation policies and will elevate the skill level of Australian research in behavioural economics. Insights we generate about how best to manage the public's expectations will enable policy design that strengthens Australia's social and economic fabric. We will disseminate the recommendations we generate in a policy workshop at the end of our project. In terms of benefits to the level of science in Australia, the project will work with local data and local researchers, and will import into Australia new experimental medical equipment and the knowledge of how to use it. These benefits will help Australia progress to the forefront of behavioural economic research.Read moreRead less
Special Research Initiatives - Grant ID: SR0354895
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statist ....Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statistics, actuarial science, financial mathematics, market micro-structure, accounting and information systems. FIRN will be supported by SIRCA's world-class financial research infrastructure and industry network. It will deliver a range of innovative research, educational, professional development and applied outcomes.Read moreRead less
Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choos ....Understanding and Modeling Individual Choices in Applied Economics. The fellowship will create a critical mass of researchers in choice modeling theory and methods in areas that Australia needs to sustain economic progress and plan for the future. It will significantly advance knowledge in several major areas: design of health insurance markets; tests for adverse selection in insurance markets; ability of people to plan for retirement (superannuation choices); ability of people to plan and choose in dynamic environments; and decisions to adopt new technologies/products in evolving technology markets. The outcome will be new ways to understand and predict choices that can significantly improve practices in business and other organisations.Read moreRead less
Maximum likelihood estimation of the parameters of stochastic differential equations. The primary objective of this project is to develop efficient algorithms for estimating the parameters of stochastic differential equations (SDEs) by simulated and exact maximum likelihood. The research will draw on both parametric and non-parametric analysis in novel ways to construct estimation procedures that are computationally feasible. These methods will then be applied in the area of finance and used to ....Maximum likelihood estimation of the parameters of stochastic differential equations. The primary objective of this project is to develop efficient algorithms for estimating the parameters of stochastic differential equations (SDEs) by simulated and exact maximum likelihood. The research will draw on both parametric and non-parametric analysis in novel ways to construct estimation procedures that are computationally feasible. These methods will then be applied in the area of finance and used to estimate the parameters of stochastic-volatility models, thus contributing to knowledge in a prominent area of complex systems, namely financial risk. The execution of this collaborative project will deliver quality research training in the topical area of mathematical finance and produce high-calibre postgraduates.
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Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as vo ....Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as volatility in price series, extremal (risky) behaviour of financial systems, and turning points of the business cycle. Discoveries will be disseminated through published papers and presentations at a major international conference. Ongoing e-research links with France will also be established.Read moreRead less
Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa ....Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.Read moreRead less
New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticip ....New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticipated outcomes of this project will be detailed knowledge of extremal behaviour in portfolios, improved methods for calibrating risk, advances in non-parametric methods in finance, a prototype practitioner toolkit for assessing risk, and high-calibre graduates to contribute to Australia's research capacity.Read moreRead less