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
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 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