New Procedures for Multiple Testing of Econometric Models. In discipline areas ranging from biological and medicine sciences to economics and commerce, very important decisions are made on the basis of statistical or econometric models. There is usually a high degree of uncertainty about the exact form the model should take and the data available to help decide on the best form of the model is often limited. The new procedures developed in this project will help statisticians and econometricians ....New Procedures for Multiple Testing of Econometric Models. In discipline areas ranging from biological and medicine sciences to economics and commerce, very important decisions are made on the basis of statistical or econometric models. There is usually a high degree of uncertainty about the exact form the model should take and the data available to help decide on the best form of the model is often limited. The new procedures developed in this project will help statisticians and econometricians make better decisions about the best form of their models. Our approach gives a new method of validating an estimated model before it is put to use to make critical decisions.Read moreRead less
Nonparametric estimation of regression models with unknown error distributions. In discipline areas ranging from bioinformatics to economics and commerce, researchers make important decisions based on regression models, where the error density is often unknown. This project will result in a new sampling procedure that aims to choose bandwidth parameters for estimating the regression function and error density in nonparametric regression models. Our approach is of practical importance and can be ....Nonparametric estimation of regression models with unknown error distributions. In discipline areas ranging from bioinformatics to economics and commerce, researchers make important decisions based on regression models, where the error density is often unknown. This project will result in a new sampling procedure that aims to choose bandwidth parameters for estimating the regression function and error density in nonparametric regression models. Our approach is of practical importance and can be used to investigate relationships between variables that are observable in our economy and community. The nation will benefit from the output of this project by having its own experts in the area of proposed research, raising Australia's academic profile in econometrics and statistics. Read moreRead less
Estimation and Inference in Weakly Identified Models. Economic and social systems are made up of interacting components leading to complex structures that are difficult to predict and manage. Consequently policy analysis and decision-making must be informed by statistical analysis of data. In many situations the informational content of observations is minimal; examples of such situations are found in the areas of education, health, finance and various aspects of macroeconomic analysis. This pro ....Estimation and Inference in Weakly Identified Models. Economic and social systems are made up of interacting components leading to complex structures that are difficult to predict and manage. Consequently policy analysis and decision-making must be informed by statistical analysis of data. In many situations the informational content of observations is minimal; examples of such situations are found in the areas of education, health, finance and various aspects of macroeconomic analysis. This project aims to develop methods of estimation and inference that make more efficient use of the information available in data. This will lead to more precise statistical analyses, resulting in a clearer understanding of economic and social systems, and better informed policy analysis and decision-making.Read moreRead less
How do company announcements affect trading frequency in stocks? This project addresses the question of how financial markets respond to news by investigating how company announcements affect trading patterns in Australian banking stocks. Analysis will be based on new extensions to autoregressive conditional hazard (ACH) models, with research focussing on how to incorporate announcement variables into an ACH framework and how to modify standard ACH analysis to account for simultaneous transactio ....How do company announcements affect trading frequency in stocks? This project addresses the question of how financial markets respond to news by investigating how company announcements affect trading patterns in Australian banking stocks. Analysis will be based on new extensions to autoregressive conditional hazard (ACH) models, with research focussing on how to incorporate announcement variables into an ACH framework and how to modify standard ACH analysis to account for simultaneous transactions, market frictions and spillover effects. The results of this research will assist government and companies in choosing announcement times, aid traders in portfolio adjustment and will lead to a better understanding of the microstructure of Australian stock markets.Read moreRead less
Econometric estimation and analysis of country, regional and global income distributions. The project will provide valuable information on characteristics of the income distribution for Australia, and the distributions for countries of socio-economic significance to Australia. The findings will enable Australian government and non-government organisations and international agencies to assess the effects of various policies such as those designed to reduce world poverty. The project can help Aust ....Econometric estimation and analysis of country, regional and global income distributions. The project will provide valuable information on characteristics of the income distribution for Australia, and the distributions for countries of socio-economic significance to Australia. The findings will enable Australian government and non-government organisations and international agencies to assess the effects of various policies such as those designed to reduce world poverty. The project can help Australia understand the most immediate needs of countries in the region, information that is useful for formulating Australian policy responses that can alleviate poverty and lead to improved living standards in the region, thereby creating a harmonious and safer environment within the Asia-Pacific region.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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Effects of Maternal Work, Day Care Use and Other Investments in Children on Child Cognitive Outcomes. Later life outcomes due to investments by individuals and/or society in children is crucial to many countries, including Australia. Appropriate policy responses require reliable and valid estimates of the likely effects of individual investments and policy interventions. Despite many research reports on this topic, almost all do not control for selection bias (eg, high achieving mothers tend to ....Effects of Maternal Work, Day Care Use and Other Investments in Children on Child Cognitive Outcomes. Later life outcomes due to investments by individuals and/or society in children is crucial to many countries, including Australia. Appropriate policy responses require reliable and valid estimates of the likely effects of individual investments and policy interventions. Despite many research reports on this topic, almost all do not control for selection bias (eg, high achieving mothers tend to put children in day care), which is a feature of our work. Thus, our empirical results will have major policy implications, and will suggest ways to obtain similar results for Australian environments. Read moreRead less
Efficient pooling of cross-section and time series data using Bayesian machine learning with two econometric applications. In this project, we adapt a Bayesian modelling strategy, namely the minimum message length principle, to the problem of efficient partitioning of economic units, such as firms or countries, into groups whose behavioural patterns are similar within each group but distinct across groups. This methodology can incorporate the requirements of economic theory. The resulting softwa ....Efficient pooling of cross-section and time series data using Bayesian machine learning with two econometric applications. In this project, we adapt a Bayesian modelling strategy, namely the minimum message length principle, to the problem of efficient partitioning of economic units, such as firms or countries, into groups whose behavioural patterns are similar within each group but distinct across groups. This methodology can incorporate the requirements of economic theory. The resulting software will be developed for the Web. We consider two specific applications, namely modelling gasoline demand in OECD countries, and finding the foreign factor with the most predictive power for the growth rate of the Australian economy. The second application is of considerable national interest.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
Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset ....Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset classes, and Value at Risk (VaR) thresholds. The innovative methods and models will permit both financial institutions and regulatory authorities to model VaR thresholds more accurately, and enable investment managers to regulate and benchmark their portfolios more effectively against international best practice.
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