Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the r ....New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the range of questions that can be answered by detailed models and there will be benefits in the research community by providing a platform for examining dynamics in large-scale economic systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100644
Funder
Australian Research Council
Funding Amount
$371,000.00
Summary
Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limi ....Nonlinear econometric panel models with fixed effects. This project aims to develop effective quantitative methods tailored to policy questions in public health and international trade. Many nonlinear panel models are essential to answer policy-relevant research questions, but cannot estimate key objects of interest, while default procedures for inference are often misleading, making magnitudes of identified effects impossible to quantify. This project will develop methods to overcome these limitations for many econometric models, and apply them to important models in health economics and international trade. Such improvements are expected to reduce risk in public decision-making, resulting in better and more effective policies.Read moreRead less
Micro-panel data with non-linear error components. This project aims to develop methods for panel data models with heterogeneous marginal effects and discrete choice outcomes, controlling for unobserved common factors and nonlinear error components; and apply the methodologies to analyse alcohol-fuelled violence and drug-related harm in Australia. The project lies at the forefront of advances in econometrics, and the outcomes are expected to broaden and deepen Australia’s knowledge base. Empiric ....Micro-panel data with non-linear error components. This project aims to develop methods for panel data models with heterogeneous marginal effects and discrete choice outcomes, controlling for unobserved common factors and nonlinear error components; and apply the methodologies to analyse alcohol-fuelled violence and drug-related harm in Australia. The project lies at the forefront of advances in econometrics, and the outcomes are expected to broaden and deepen Australia’s knowledge base. Empirical outcomes should inform and evaluate evidence-based policy interventions for crime prevention, and influence policy making about public transport and economic growth.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100585
Funder
Australian Research Council
Funding Amount
$370,000.00
Summary
Women, task allocations, and advancement in the labour market. This project aims to investigate the origins and labour market consequences of gender differences in willingness to perform low-promotability tasks. The design of practices and institutions that can close gender gaps in the labour market and promote the advancement of the highest quality workforce in organisations requires information about the factors that affect career advancement. This project will study the allocation of tasks th ....Women, task allocations, and advancement in the labour market. This project aims to investigate the origins and labour market consequences of gender differences in willingness to perform low-promotability tasks. The design of practices and institutions that can close gender gaps in the labour market and promote the advancement of the highest quality workforce in organisations requires information about the factors that affect career advancement. This project will study the allocation of tasks that do not enhance prospects for promotion. The project will provide new insights regarding how organisations and the government can design programs to reduce the under-representation of women in leadership positions and in traditionally male-dominated fields.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
Bayesian analysis of individual decisions in health and labour economics. This project aims to exploit emerging Bayesian Markov chain Monte Carlo methods to develop new approaches to modelling economic decision making. These methods will generate insights into two current and important policy debates. This includes (i) marijuana, alcohol and tobacco use and legalisation of marijuana use; and (ii) parental leave policies, maternity leave decisions and mothers' labour market dynamics. Although p ....Bayesian analysis of individual decisions in health and labour economics. This project aims to exploit emerging Bayesian Markov chain Monte Carlo methods to develop new approaches to modelling economic decision making. These methods will generate insights into two current and important policy debates. This includes (i) marijuana, alcohol and tobacco use and legalisation of marijuana use; and (ii) parental leave policies, maternity leave decisions and mothers' labour market dynamics. Although policies play an important role in observed health and labour market behaviours, their exact effects on individuals' decisions and outcomes are often difficult to quantify due to the complex nature of the decision process. Outcomes from the project will include new evidence of changes in substance uses under different legal scenarios and provide benefits such as yielding vital evidence on labour market and health behaviour impacts to support policy makers and strengthen Australia's research capacity in Bayesian analysis.Read moreRead less
Measuring the Commercial Real Estate Sector in Australia. This project aims to address a significant gap in our understanding of the Australian commercial real estate sector. It will use detailed data to develop sophisticated models of the prices of commercial buildings. Expected outcomes include a suite of commercial real estate price indexes for Australia, by region and property type, and a comprehensive and transparent examination of the methods used to construct them. This will shed light on ....Measuring the Commercial Real Estate Sector in Australia. This project aims to address a significant gap in our understanding of the Australian commercial real estate sector. It will use detailed data to develop sophisticated models of the prices of commercial buildings. Expected outcomes include a suite of commercial real estate price indexes for Australia, by region and property type, and a comprehensive and transparent examination of the methods used to construct them. This will shed light on a hitherto poorly measured sector and provide significant benefits by better informing market participants, guiding statistical agencies in developing such measures and better-enabling policymakers, banks, superfunds and macroprudential authorities to understand the risk profile of the sector.Read moreRead less
Macroeconomic Consequences of Macroprudential Policy. This project aims to investigate the macroeconomic consequences of macroprudential policies and to provide robust, empirically-based advice to policy-makers about how they should be conducted. The global financial crisis motivated many nations to introduce new policies – known as macroprudential policies – with the explicit goal of maintaining financial stability. Important components of the project include estimation of a multisector small o ....Macroeconomic Consequences of Macroprudential Policy. This project aims to investigate the macroeconomic consequences of macroprudential policies and to provide robust, empirically-based advice to policy-makers about how they should be conducted. The global financial crisis motivated many nations to introduce new policies – known as macroprudential policies – with the explicit goal of maintaining financial stability. Important components of the project include estimation of a multisector small open economy model with interactions between the financial sector and the rest of the macroeconomy and development of new methods to evaluate these policies. Assessing the sensitivity of the performance of macroprudential policies to variations in key dimensions of the model is another important aspect.Read moreRead less
J.G. Crawford: Shaping Australia's Place in the World. Through a study of Sir John Grenfell (J.G.) Crawford, this project will examine transformations in Australian policy during the middle decades of the twentieth century. Crawford was a leading member of a generation of public servants who recast the practices of government, in this case through a particular focus on Australia's role in our region and among developing countries.