This thesis presents copulas as a statistical methodology appropriate to applied health economic research. Like all applied economic and econometric analysis, health economics applies econometric methods under certain assumptions. I propose here that copulas be used in place of common assumptions made when analysing multivariate data, specifically the distributional and dependence assimiptions commonly made jointly-dependent outcomes in health and health care.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:489199 |
Date | January 2007 |
Creators | Quinn, Casey |
Publisher | University of York |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Page generated in 0.0016 seconds