Dr Yuanyuan Gu
Senior Research Fellow
Yuanyuan Gu is a Senior Research Fellow at the Centre for the Health Economy at Macquarie University (MUCHE), leading the centre’s research stream on choice modelling and econometrics.
Yuanyuan completed his bachelor degree in statistics at Fudan University, and his Mcom (Hons) and PhD in economics at the University of New South Wales. His research is in the broad area of health economics, choice modelling and econometrics, with a particular interest in preferences, choice, behaviour and performance in the health system. His work has been published in journals such as Health Economics, Social Science and Medicine, the Econometrics Journal, European Journal of Health Economics and Health Policy.
Yuanyuan has won a number of competitive research grants, fellowships and contracts. In 2017, he was awarded a Marie Skłodowska-Curie Individual Fellowship by the European Commission. The Fellowship is Europe’s most competitive and prestigious award, aimed to support the best, most promising scientists. He is a chief investigator in a project funded by the NSW Treasury and the Ministry of Health on developing an outcomes based funding model framework for the Australian public hospital system. He is also a chief investigator in a project funded by Central Coast Local Health District to undertake a process and economic evaluation of an outcomes based funding model for the delivery of integrated care.
Yuanyuan has taught a number of economics and econometrics subjects, with substantial experience in novel teaching techniques such as using videos and interactive online platforms. At Macquarie University, he is one of the key designers and lecturers of the health economics module, a core subject for the recently launched Master of Public Health program.
Before joining MUCHE in 2016, Yuanyuan was a Research Fellow at the Centre for Health Economics at Monash University. In collaboration with an international research team, he investigated social and decision maker preferences for priority setting in health care resource allocation by using qualitative and quantitative methods such as systematic review, focus group, Q Methodology, and Discrete Choice Experiment (DCE). Prior to this, he held an NHMRC capacity building fellowship at the Centre for Health Economics Research and Evaluation at the University of Technology Sydney where he developed the methodology to estimate health state utility values using DCEs as well as the G-MNL Stata module which is now widely used for choice modelling studies around the world. Before academia, he worked as a consultant assistant at Boston Consulting Group in Shanghai.
Publications and reports
- Cutler, H., Gu, Y., and Olin, E. (2017) Assessing patient choice for public hospitals. MUCHE Thought Leadership Report.
- Ratcliffe, J., Lancsar, E., Walker, R., and Gu, Y. (2017). Understanding what matters: an exploratory study to investigate the views and preferences of the general public for priority setting criteria in health care. Health Policy, in press.
- Gu, Y., Lancsar, E., Ghijben, P., Butler, J.R., and Donaldson, C. (2015). Attributes and weights in health care priority setting: A systematic review of what counts and to what extent. Social Science & Medicine, 146, 41-52
- Gu, Y., Perez, S.G., Massie, J., and Van Gool, K. (2015). Cost of care for cystic fibrosis – an investigation of cost determinants using national registry data. European Journal of Health Economics, 16, 709-717
- Langton, J.M., Srasuebkul, P., Reeve, R., Parkinson, B., Gu, Y., Buckley, N.A., Haas, M., Viney, R. and Pearson, S. (2015). Resource use, costs and quality of end of life care: Observations in a cohort of elderly Australian cancer decedents. Implementation Science, 10, 1-26
- Gu, Y., Norman, R., and Viney, R.C. (2014). Estimating health state utility values from discrete choice experiments - a QALY space model approach. Health Economics, 23, 1098-111
- Gu, Y., Hole, A.R., and Knox, S. (2013). Estimating the generalized multinomial logit in Stata. Stata Journal, 13, 382-397
- Knox, S.A., Viney, R.C., Gu, Y., Hole, A.R., Fiebig, D.G., Street, D., Haas, M.R., Weisbergd E., and Bateson D. (2013). The effect of adverse information and positive promotion on women’s preferences for prescribed contraceptive products. Social Science and Medicine, 83, 70-80
- Gu, Y., Fiebig, D.G., Cripps, E. and Kohn, R. (2009). Bayesian estimation of a random effects heteroscedastic probit model. Econometrics Journal, 12, 324-339