Modelling Health: Reporting Behaviour and Misclassification using Survey Data

Mark Harris from the Centre for Research in Applied Economics and the School of Economics, Finance and Property together with Pratima Srivastava, Sarah Brown and William Greene received an ARC Discovery Grant with funding commencing in 2014 through to 2016. Details on his research is below:

Project Summary
Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.

Funding
2014       $110,000
2015       $110,000
2016       $130,000

Field of Research Codes:

  • 140208: Health Economics
  • 140302: Econometrics and Statistical Methods

Keywords

  • Health behaviour
  • Econometric analysis
  • Survey reporting bias