Developing Flexible Latent Variable Methods for Panel Data

Back to search results

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.

Apply Now
Supervisory team

Business School

Mathematics and Statistics

Business School

Apply Now

Please start your application by taking the self assessment. Download the editable MS Word version or download the non-editable PDF version (best for Mac or mobile devices). Once the self assessment form is completed, save as a PDF and upload along with your application.

One file only.
50 MB limit.
Allowed types: gif jpg png bmp eps tif pict psd txt rtf html odf pdf doc docx ppt pptx xls xlsx xml avi mov mp3 ogg wav bz2 dmg gz jar rar sit svg tar zip.
If you have not done so, please complete the self assessment PDF as noted above.