Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus ....Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus on the effect of inequality of opportunity on income, health and education with special emphasis placed on Indigenous and migrant populations. The findings should help formulate cost-efficient policy interventions aimed at levelling the economic playing field.Read moreRead less
Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine th ....Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine the reliability of their analysis. This project will develop statistical and computational methods to better understand observed economic behaviour. By allowing the effects of proposed economic interventions and regulations ex ante, this project will support the development of more efficient and better-targeted policies in every area of the economy.Read moreRead less
Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
Risk management and funding structures: an econometric panel data analysis of health insurance in Australia. This research analyses how subsidies to Australian health insurance, both public and private, vary by income, risk of loss, age and region. It will provide the necessary information to guide future health funding by analysing the equity and efficiency of existing subsidies and alternative subsidies related to individuals' risk of high health costs.
Robust Empirical Analysis of Poverty and Inequality in Australia. The project aims to improve our understanding of economic poverty and inequality in Australia, and contribute new method to the field of distributional analysis. The empirical analysis of consumption poverty and inequality will highlight the critical methodological assumptions underlying our perceptions of poverty, and provide an evaluation of the effectiveness of a range of programs targeted to the poor. The analysis of economic ....Robust Empirical Analysis of Poverty and Inequality in Australia. The project aims to improve our understanding of economic poverty and inequality in Australia, and contribute new method to the field of distributional analysis. The empirical analysis of consumption poverty and inequality will highlight the critical methodological assumptions underlying our perceptions of poverty, and provide an evaluation of the effectiveness of a range of programs targeted to the poor. The analysis of economic inequality in Australia will determine if recent trends are due to increasing globalisation, and whether national programs were effective in ameliorating international influences. This research will ultimately contribute to more effective poverty alleviation and income support programs.Read moreRead less
Bayesian Inference for Welfare Comparisons of Income Inequality and Poverty. The major expected outcome of this research is an array of techniques for making welfare comparisons involving income inequality and poverty within a framework of Bayesian inference. Various applications of the techniques are expected to yield useful information on inequality comparisons over time and space and on changes in the level of poverty. Given that reduction in levels of inequality and poverty is a matter of ma ....Bayesian Inference for Welfare Comparisons of Income Inequality and Poverty. The major expected outcome of this research is an array of techniques for making welfare comparisons involving income inequality and poverty within a framework of Bayesian inference. Various applications of the techniques are expected to yield useful information on inequality comparisons over time and space and on changes in the level of poverty. Given that reduction in levels of inequality and poverty is a matter of major concern, the development of suitable measurement techniques has immense potential for national benefit. In addition, the project will serve as a vehicle for training two PhD students, and hence will contribute to the small pool of highly trained econometricians with expertise in measuring income inequality.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100748
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Robust inference for behavioural models in economics and finance. The project will develop novel methodology to estimate behavioural models in economics and finance, which may give better insights on economic development. Knowledge gained from this project will be useful for Australian industries, banks, investment funds and the government for the effective formulation of their business strategies and policies.
Flexible methods for latent variable models applied to Health Economics. This project aims to develop flexible and powerful methods for estimating models containing variables that are unobserved, that is, latent. Such models are often used to capture individual heterogeneity and time dependence in data collected on individuals, with each individual observed for several time periods. Latent variables can also infer group membership, where such membership is unavailable from the data. The intended ....Flexible methods for latent variable models applied to Health Economics. This project aims to develop flexible and powerful methods for estimating models containing variables that are unobserved, that is, latent. Such models are often used to capture individual heterogeneity and time dependence in data collected on individuals, with each individual observed for several time periods. Latent variables can also infer group membership, where such membership is unavailable from the data. The intended methodology is Bayesian and based on new particle methods that allow users to select between models and predict future observations even in complex situations. The research aims to inform decision making through improved use of data in health economics and related fields.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
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