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
Data retrieval from massive information structures. Information search is an essential tool. But most current services regard the data as unstructured collections of independent documents, free of context. Next-generation search applications, such as over social networks, or corporate websites, or XML data sets, must account for the inherent relationships between data items, and must allow the efficient inclusion of search context. Queries should favour semantically local data, giving results th ....Data retrieval from massive information structures. Information search is an essential tool. But most current services regard the data as unstructured collections of independent documents, free of context. Next-generation search applications, such as over social networks, or corporate websites, or XML data sets, must account for the inherent relationships between data items, and must allow the efficient inclusion of search context. Queries should favour semantically local data, giving results that depend on the perceived state of the querier. This project will develop indexing and search techniques for massive structured data sets. The new search methods will incorporate theoretical advances and will be experimentally validated using industry-standard open-source distributed systems.Read moreRead less
Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The resea ....Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The research outcomes of this project are expected to be applicable in evaluating and improving empirical model building and forecasting from better models in climatology, economics and finance with possible endogeneity and nonlinearity and non-stationarity.Read moreRead less
Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems. Understanding emerging collective behaviours in large-scale data-driven networked systems and developing methodology and approach for pattern identification and intervention are very important for high impact applications such as smart energy supply using smart meters. This project will propose a new theory for the developments, which will enhance Australia's leading position in this research and provide a cut ....Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems. Understanding emerging collective behaviours in large-scale data-driven networked systems and developing methodology and approach for pattern identification and intervention are very important for high impact applications such as smart energy supply using smart meters. This project will propose a new theory for the developments, which will enhance Australia's leading position in this research and provide a cutting-edge technology for industrial applications and training of the next generation of leading researchers.Read moreRead less
Econometric model building and estimation. This project aims to tackle issues in econometric model building and estimation under cross sectional dependence, heterogeneity and nonlinearity. This project will seek to establish flexible econometric models associated with estimation methods and user-friendly computational techniques to try to solve real world problems. The research outcomes are expected to be useful to empirical researchers in evaluating and improving model building and forecasting ....Econometric model building and estimation. This project aims to tackle issues in econometric model building and estimation under cross sectional dependence, heterogeneity and nonlinearity. This project will seek to establish flexible econometric models associated with estimation methods and user-friendly computational techniques to try to solve real world problems. The research outcomes are expected to be useful to empirical researchers in evaluating and improving model building and forecasting from better models in climatology, demography, economics, environment, finance, machine learning and neural networks.Read moreRead less
Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the ....Living on the Margin: The Relationship between Mental Health and Work in Australia. This project will assess the relationship between Australians' mental health and their work, for example, employment status, work conditions and hours. The study is the first to exploit the detailed timing of mental health and employment transitions to identify whether poor labour market outcomes lead to poor mental health or whether the reverse is true. New Australian data will be used to understand whether the link between mental health and work adds to the economic vulnerability of families and those at risk of homelessness. The results will advance our understanding of the way that mental health affects overall economic well-being and will inform current policy initiatives to promote economic participation and good mental health.Read moreRead less
Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete ch ....Economic Reform and Australian Electoral Decision Making. Australia has undergone dramatic economic, demographic and social change in the past twenty years. This project will investigate how these changes have impacted upon elector behaviour. With compulsory voting, comprehensive census data and the Australian Election Study an uniquely detailed dataset can be constructed. This dataset and the application of ?cutting edge? statistical techniques from the fields of cohort analysis and discrete choice modelling will allow for the untangling of various influences on voter behaviour. With compulsory voting many biases due to voter turnout issues will be avoided making this project an unbiased test, with international interest and significance, of voter behaviour.Read moreRead less
Efficient and effective algorithms for searching strings in secondary storage. Pattern searching is fundamental to a wide range of computing applications, including web search and bioinformatics. In this project we will develop compression algorithms and hybrid memory-disk search structures that allow fast pattern matching on sequences of textual and numeric data, including when approximate search is required.
On effectively modelling and efficiently discovering communities from large networks. Finding and maintaining close communities from very large scale, dynamically changing networks is interesting and challenging. This project aims to develop new techniques to identify such communities as fast as possible through exploiting the rich semantics and individual relationships within the communities.
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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