New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.Read moreRead less
Approximate structures for efficient processing of data streams. This project aims to increase the volume of streamed data that can be handled on a low-powered device with limited memory. In finance, health, and transport, data arrives at enormous rates, and data-driven decisions must be made quickly. Likewise, to keep Australia secure, national agencies monitor and gather vast data sets. Increasingly, devices and monitors that have limited resources are making these decisions and they require c ....Approximate structures for efficient processing of data streams. This project aims to increase the volume of streamed data that can be handled on a low-powered device with limited memory. In finance, health, and transport, data arrives at enormous rates, and data-driven decisions must be made quickly. Likewise, to keep Australia secure, national agencies monitor and gather vast data sets. Increasingly, devices and monitors that have limited resources are making these decisions and they require computational techniques that run extremely efficiently. The project expects to develop and improve approximate data structures that operate in tight resource bounds. Anticipated outcomes are improved event recognition and dramatic speedup in analysis of streams in areas such as finance, health, transport, and urban data.Read moreRead less
Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor men ....Insecure Work and the Mental Health of Workers and their Families. This project aims to explore the relationship between insecure work and mental health by applying advanced econometric methods to large survey and administrative datasets, and newly collected survey data. This project expects to provide causal policy-relevant estimates of how insecure work is affecting the wellbeing of workers and their families, and for whom the effects are most harmful. It also expects to inform on how poor mental health influences the types of jobs that people enter into. This should provide significant benefits, including evidence needed to improve existing workplace and employment programs, and evidence ensuring that assistance is efficiently targeted to those workers and industries with the greatest need.Read moreRead less
Econometric studies of the dynamics of loneliness and social isolation. This project aims to provide new insights into the socioeconomic dynamics of loneliness and social isolation using advanced econometric modelling techniques applied to longitudinal data from Australia and the UK. This project will apply advanced econometric modelling techniques to data from four nationally-representative longitudinal surveys to substantively help address these knowledge gaps, giving policy-makers new informa ....Econometric studies of the dynamics of loneliness and social isolation. This project aims to provide new insights into the socioeconomic dynamics of loneliness and social isolation using advanced econometric modelling techniques applied to longitudinal data from Australia and the UK. This project will apply advanced econometric modelling techniques to data from four nationally-representative longitudinal surveys to substantively help address these knowledge gaps, giving policy-makers new information about how to address these growing societal concerns. The expected outcomes will provide policy-makers with a better understanding of the socioeconomic triggers for loneliness and social isolation; quantify the costs of loneliness and social isolation on health and wellbeing; and identify policy interventions aimed at reducing loneliness and social isolation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100438
Funder
Australian Research Council
Funding Amount
$402,996.00
Summary
Children's time investments, cognitive development and health. This project aims to understand time investment decisions of children and adolescents. There is a need for more robust evidence on the combination of time investments that improve early cognitive skills and well being. Using advanced econometric techniques and longitudinal data, this project expects to generate new knowledge on how children and adolescents spend their time, and how such time investments affect their health and cognit ....Children's time investments, cognitive development and health. This project aims to understand time investment decisions of children and adolescents. There is a need for more robust evidence on the combination of time investments that improve early cognitive skills and well being. Using advanced econometric techniques and longitudinal data, this project expects to generate new knowledge on how children and adolescents spend their time, and how such time investments affect their health and cognitive development. Expected outcomes of this project include a greater understanding of the early determinants of health and economic inequalities. This will contribute to the development of effective policies for improving educational outcomes, preventing harmful behaviours and promoting health and well being.Read moreRead less
Microeconometric Analysis of Socioeconomic Inequity in Mental Healthcare. The project aims to describe the extent of socioeconomic inequity in Australian mental healthcare use, identify the causal pathways that drive inequities, and conduct economic evaluations of programs aimed at increasing healthcare access. Microeconometric methods will be used to analyse large, longitudinal datasets that have not previously been used for this purpose. The project expects to provide a greater understanding o ....Microeconometric Analysis of Socioeconomic Inequity in Mental Healthcare. The project aims to describe the extent of socioeconomic inequity in Australian mental healthcare use, identify the causal pathways that drive inequities, and conduct economic evaluations of programs aimed at increasing healthcare access. Microeconometric methods will be used to analyse large, longitudinal datasets that have not previously been used for this purpose. The project expects to provide a greater understanding of the barriers that people face in accessing treatment and how to overcome them. Such understanding is currently missing from academic literatures and policy inquiries. Ultimately, the research should aid in the design of cost-effective policies that improve health outcomes and that reduce inequities in treatment access.Read moreRead less
Econometric methods for distributional policy effects. This project aims to develop new econometric methods that can measure distributional policy effects by accounting for heterogeneous policy impacts among observationally equivalent individuals. The project expects to develop quantile regression methods under a difference-in-differences framework that accommodates issues of censoring and sample selection. The outcomes of this project are expected to substantially broaden the scope of the stand ....Econometric methods for distributional policy effects. This project aims to develop new econometric methods that can measure distributional policy effects by accounting for heterogeneous policy impacts among observationally equivalent individuals. The project expects to develop quantile regression methods under a difference-in-differences framework that accommodates issues of censoring and sample selection. The outcomes of this project are expected to substantially broaden the scope of the standard mean difference-in-differences approach and have significant contributions to empirical studies in the future. The project intends to provide statistically valid inferential procedures and conduct simulation exercise and empirical studies relevant to policy evaluation for the benefit of Australia and other jurisdictions.Read moreRead less
Self-control in Economic Behaviour. This project aims to use new Australian data to study the way that people’s self-control affects their economic behaviour. This project expects to advance science by testing two new ways of identifying whether people understand their own self-control issues and conducting an innovative program of research that links people’s self-control to their life chances. Expected outcomes include an understanding of i) the factors driving the capacity for self-control; i ....Self-control in Economic Behaviour. This project aims to use new Australian data to study the way that people’s self-control affects their economic behaviour. This project expects to advance science by testing two new ways of identifying whether people understand their own self-control issues and conducting an innovative program of research that links people’s self-control to their life chances. Expected outcomes include an understanding of i) the factors driving the capacity for self-control; ii) the role of self-control in promoting wellbeing; and iii) policy options for improving outcomes through better self-control. This should provide significant benefits in supporting policy agendas such as the Government’s Priority Investment Approach and behavioural economics teams. Read moreRead less
Discrimination in Policing: Evidences from Natural Experiments. Ensuring that institutions are discrimination-free is key for the harmony of a society and the strength of a nation’s social contract. This research aims to investigate whether Australian law enforcement discriminates against certain groups and to explore the mechanisms explaining how it decides with whom to strictly enforce the law and
with whom to be lenient. This research program focuses on speeding fines as they offer unique nat ....Discrimination in Policing: Evidences from Natural Experiments. Ensuring that institutions are discrimination-free is key for the harmony of a society and the strength of a nation’s social contract. This research aims to investigate whether Australian law enforcement discriminates against certain groups and to explore the mechanisms explaining how it decides with whom to strictly enforce the law and
with whom to be lenient. This research program focuses on speeding fines as they offer unique natural experiments allowing rigorous exploration of these issues. The expected outcome is a better understanding of discrimination in Australia and the factors explaining it, which should contribute to better policy design and lead to more equitable treatment for all Australians.Read moreRead less
Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less