This project will develop novel statistical methods motivated by substantive problems involving analysis of individuals responding to changes in their work and personal environments. Our focus will be health economics and changes such as government policy initiatives or unexpected health shocks where concerns arise about inequality in healthcare. For example, are there important differences associated with socio-economic status or insurance coverage in treatment and financial burdens occurring after a health shock? Such questions are best answered using panel data where individuals are tracked over time. Methods developed will exploit such data and will apply outside the planned applications in health.
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Mathematics and Statistics