Developing a model to assess the economic consequences of cannabis policy options. The potential economic benefits of the project reside in the ability of governments to make cannabis policy decisions based on assumptions of reduced economic burden of one model over another through:
1.the direct comparison in economic terms of three different models for the regulation of cannabis;
2.a model for estimating economic costs associated with cannabis which can be applied to other illicit drugs;
3 ....Developing a model to assess the economic consequences of cannabis policy options. The potential economic benefits of the project reside in the ability of governments to make cannabis policy decisions based on assumptions of reduced economic burden of one model over another through:
1.the direct comparison in economic terms of three different models for the regulation of cannabis;
2.a model for estimating economic costs associated with cannabis which can be applied to other illicit drugs;
3.improving the evidence-base for policy decision-making at all jurisdictions in Australia.
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Economic consequences for Australia of global demographic change. In addition to addressing the economic implications of declining fertility and mortality in Australia this study will analyse major changes in demographic behaviour in regions on which Australia's economic health depends and the consequent changes in the flow of migrants into Australia. A new mathematical model of global population change will be integrated into the standard GTAP-dynamic model of global economic performance to pr ....Economic consequences for Australia of global demographic change. In addition to addressing the economic implications of declining fertility and mortality in Australia this study will analyse major changes in demographic behaviour in regions on which Australia's economic health depends and the consequent changes in the flow of migrants into Australia. A new mathematical model of global population change will be integrated into the standard GTAP-dynamic model of global economic performance to provide a useful tool for future analysis of Australia's population and economic policies. The analysis will contribute to policy development and the models will be widely available to policy institutions for their use.Read moreRead less
A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it ....A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it to produce forecasts of both volatility itself and the premia factored into asset prices as a result of traders' perceptions of volatility risk. State-of-the-art statistical methods will be used to produce up-dates of the probability of extreme volatility and/or extreme risk aversion, as new market data becomes available each trading day.Read moreRead less
Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible futu ....Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible future values of such variables. Although far-ranging in scope, the techniques advocated will have particular impact in the financial sphere, where the concept of future risk is inextricably linked to the probability of occurrence of extreme values and, hence, to the future probability distribution of the financial variable. Read moreRead less
New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evo ....New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evolution over time. In so doing, they enable both accurate inferences regarding the dynamic structure of the data to be drawn and accurate forecasts of future event counts to be produced.Read moreRead less
New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the ....New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process.Read moreRead less
Regional Dimensions: New Models for Analysis of the Spatial Effects of Policy, Socio-Demographic and Economic Changes. This project aims to substantially improve the decision-support tools available to State and Territory governments by providing them with, first, far more detailed small area data than has previously been available, via the creation of a synthetic small area household database and, second, with the capacity to assess the current and future impact of possible policy reforms and l ....Regional Dimensions: New Models for Analysis of the Spatial Effects of Policy, Socio-Demographic and Economic Changes. This project aims to substantially improve the decision-support tools available to State and Territory governments by providing them with, first, far more detailed small area data than has previously been available, via the creation of a synthetic small area household database and, second, with the capacity to assess the current and future impact of possible policy reforms and likely social, demographic and economic changes at the small area level, through the construction of microsimulation models on top of the synthetic household data.Read moreRead less
Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend
current econometric practice and consider the use of power laws as
a basis for the construction of a more flexible and realistic
class of models for the analysis of economic and financial time
series. (ii) To develop inferential techniques appropriate for the
modelling of dynamic econometric systems that incorporate
struc ....Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend
current econometric practice and consider the use of power laws as
a basis for the construction of a more flexible and realistic
class of models for the analysis of economic and financial time
series. (ii) To develop inferential techniques appropriate for the
modelling of dynamic econometric systems that incorporate
structure characterized by power laws. This will be achieved by
building upon the class of fractionally integrated processes. New
econometric models and methodologies for the analysis of
non-stationarity series will be developed, along with the
associated theoretical results.Read moreRead less