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
Modelling Income Distributions over Space and Time: 1985-2010. The aim of this project is to develop and use interpolation and extrapolation methods, designed to overcome data scarcity, to estimate annual income distributions for countries, regions and the world for the period 1985 to 2010, facilitating measurement and comparison of changes in inequality, per capita income, poverty, and pro-poor growth, at national, regional and global levels. Reliable estimates of these welfare measures provide ....Modelling Income Distributions over Space and Time: 1985-2010. The aim of this project is to develop and use interpolation and extrapolation methods, designed to overcome data scarcity, to estimate annual income distributions for countries, regions and the world for the period 1985 to 2010, facilitating measurement and comparison of changes in inequality, per capita income, poverty, and pro-poor growth, at national, regional and global levels. Reliable estimates of these welfare measures provide valuable information for policy advisors and other researchers interested in growth and welfare of society.Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less