Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate eco ....Nonlinear spatial and spatiotemporal econometrics: theory with applications. Modern societies like Australia have major challenges in the forecasting, measuring and managing of risks associated with global economic and environmental/climate changes. These tasks require advanced econometric techniques in modelling and forecasting of complex nonlinear spatiotemporal variability in economic and social systems. This project will develop frontier econometric technologies that enable more accurate economic and climate forecasts. The tools produced will provide Australia's scientists and policy-makers with a greater capacity to manage the risks associated with these challenges. A side-benefit of the research will be high-quality publications that enhance the nation's reputation in this cutting edge research.Read moreRead less
Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to an ....Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to analyse a portfolio of returns and risk, and the determination of its applicability using numerical simulation techniques. The expected outcomes are an optimal practical method for analysing a portfolio of assets, a scientific monograph, and publications in leading international journals.Read moreRead less
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
Quantifying Country Credit Risk Ratings and Volatility, and Measuring the Impact of Fundamentals. National/community benefits include developing a superior quantifiable ratings method to the qualitative rankings produced by leading international country credit risk ratings agencies, measuring the impact of economic/financial fundamentals on risk ratings, and analysing their fluctuations across countries and risk categories over time. The project provides a solution to the major problems underlyi ....Quantifying Country Credit Risk Ratings and Volatility, and Measuring the Impact of Fundamentals. National/community benefits include developing a superior quantifiable ratings method to the qualitative rankings produced by leading international country credit risk ratings agencies, measuring the impact of economic/financial fundamentals on risk ratings, and analysing their fluctuations across countries and risk categories over time. The project provides a solution to the major problems underlying qualitative country risk ratings, namely the irregularity and infrequency of their measurement, and emphasizes the practicality of the results. Expected outcomes include a clearer understanding of how to quantify qualitative rankings and their fluctuations, using information intelligently, and promoting an innovation and knowledge culture.Read moreRead less
Nonlinear and Nonstationary Time Series Econometrics: Theory and Applications. The outcomes of this project will not only complement but also enhance the existing research strengths of Australian researchers in time series econometrics. Such a research goal falls within the National Research Priority 3 (PG1). In addition, our models will be applicable in stablizing the national financial market for more accurate forecasts. This falls within the National Research Priority 3 (PG5). The research ou ....Nonlinear and Nonstationary Time Series Econometrics: Theory and Applications. The outcomes of this project will not only complement but also enhance the existing research strengths of Australian researchers in time series econometrics. Such a research goal falls within the National Research Priority 3 (PG1). In addition, our models will be applicable in stablizing the national financial market for more accurate forecasts. This falls within the National Research Priority 3 (PG5). The research outcomes will also provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process. This falls within the National Research Priority 1 (PG7) Read moreRead less
Nonparametric and Semiparametric Approaches in Nonlinear Time Series Econometrics and Financial Econometrics. This research proposal involves new theoretical investigations using nonparametric and semiparametric approaches in high dimensional nonlinear economic and financial dynamical systems.
The main aims of this proposal are
(i) to make new theoretical investigations of high dimensional nonlinear economic and financial dynamical models which incorporate to varying degrees, nonlinearit ....Nonparametric and Semiparametric Approaches in Nonlinear Time Series Econometrics and Financial Econometrics. This research proposal involves new theoretical investigations using nonparametric and semiparametric approaches in high dimensional nonlinear economic and financial dynamical systems.
The main aims of this proposal are
(i) to make new theoretical investigations of high dimensional nonlinear economic and financial dynamical models which incorporate to varying degrees, nonlinearity, and additivity;
(ii) to develop novel computational procedures and programmes for the necessary statistical inference associated with new high dimensional nonlinear dynamical models; and
(iii) to apply the techniques and programmes to improve economic and financial model building and forecasts from better models.
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Statistical methodology for events on a network, with application to road safety. This project develops new methods to analyse road traffic accident rates, aiming to identify accident black spots and to develop an evidence base for future road design and road safety management. These methods can be applied to other types of events on a network of roads, railways, rivers, electrical wires, communication networks or airline routes.
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
Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research w ....Entropic Analysis of Financial Risk and Uncertainty. The recent financial crisis has shown that the financial markets are not as stable as expected, and are at risk from a lack of knowledge about new financial products and their risks. This research provides a framework to better measure and forecast financial risks by applying a set of techniques known collectively as entropic analysis as a novel way to measure the amount of information that can be extracted from historical data. The research will facilitate the design of policies and regulations by regulatory authorities that need to evaluate new financial products, their associated risks and their impacts on the financial markets.Read moreRead less