National Centre for Social and Economic Modelling Modelling (NATSEM)
Institute for Governance and Policy Analysis at the University of Canberra
Labour economics; statistical modeling; microsimulation; tax and income issues
Dr Jinjing Li is an Associate Professor at the National Social and Economic Modelling Centre (NATSEM) at the University of Canberra, and an affiliated researcher at the United Nations University and Maastricht University in the Netherlands. He has also been a visiting fellow at Harvard University in U.S. and Teagasc in Ireland. His main research interest is policy modelling and evaluation using microsimulation techniques, with a focus on simulating the shifts in income distribution and the behavioural response due to changes in the economic environment and public policies.
Dr Li currently serves as a board member of the International Microsimulation Association (IMA). He developed a range of economic simulation models for different organisations, and collaborated with many government agencies, think tanks and international organisations from Australia, China, Korea, Belgium, Luxembourg, International Labor Organisation and others. He currently leads multiple Australian policy simulation projects, which allow government agencies to better assess the socio-economic impact of policy reforms.
- Li, Jinjing, Miranti, Riyana, & Vidyattama, Yogi. (2017). What matters in education: a decomposition of educational outcomes with multiple measures. Educational Research and Evaluation, 1-23. doi:10.1080/13803611.2017.1311795
- Stoker, G., Li, J., Halupka, M. and Evans, M. (2017), 'Complacent Young Citizens or Cross Generational Solidarity? An Analysis of Australian Attitudes to Democratic Politics', Australian Journal of Political Science, 52, 2, pp. 218-235
- Zhai, Tiemin, Goss, John, & Li, Jinjing. (2017). Main drivers of health expenditure growth in China: a decomposition analysis. BMC Health Services Research, 17(1), 185. doi:10.1186/s12913-017-2119-1
- Li, Jinjing. (2016). A Review of Spatial Microsimulation: A Reference Guide for Users. International Journal of Microsimulation, 8(3), 148-151.
- Li, Jinjing, & Kinfu, Yohannes. (2016). Impact of socioeconomic and risk factors on cardiovascular disease and type II diabetes in Australia: comparison of results from longitudinal and cross-sectional designs. BMJ Open, 6(4). doi:10.1136/bmjopen-2015-010215
- Vidyattama, Yogi, Cassells, Rebecca, Li, Jinjing, & Abello, Annie. (2016). Assessing the significance of internal migration in drought affected areas: A case study of the Murray Darling Basin, Australia. Australasian Journal of Regional Studies.
- Li, Jinjing. (2016). Cluster analysis in policy studies. In Gerry Stoker & Mark Evans (Eds.), Evidence Based Policymaking in the Social Science: Methods that matter (pp. 169-185). UK: Policy Press.
- Li, Jinjing, Duncan, Alan, & Miranti, Riyana. (2015). Underemployment among Mature-Age Workers in Australia. Economic Record, 91(295), 438-462. doi:10.1111/1475-4932.12219
- Li, Jinjing, Donoghue, Cathal O., & Dekkers, Gijs. (2014). Dynamic Models. In cathal O’Donoghue (Ed.), Handbook of Microsimulation Modelling (Vol. 293, pp. 305-343). UK: Emerald Group Publishing Limited.
- Li, Jinjing, & O’Donoghue, Cathal. (2014). Evaluating Binary Alignment Methods in Dynamic Microsimulation Models. Journal of Artificial Society and Simulation, 17(1), article. 15.
- Li, Jinjing, & Sologon, Denisa Maria. (2014). A Continuous Labour Supply Model in Microsimulation: A Life-Cycle Modelling Approach with Heterogeneity and Uncertainty Extension. PLoS ONE, 9(11), e111903. doi:10.1371/journal.pone.0111903
- Li, Jinjing, Donoghue, Cathal O., Loughrey, Jason, & Harding, Ann. (2014). Static Models. In O. Donoghue Cathal (Ed.), Handbook of Microsimulation Modelling (Vol. 293, pp. 47-75). UK: Emerald Group Publishing Limited.
- Li, Jinjing, & O’Donoghue, Cathal. (2013). An Overview of Binary Alignment Methods in Microsimulation. In G. Dekkers, M. Keegan, & C. O’Donoghue (Eds.), New Pathways in Microsimulation (pp. 217). Surrey, UK: Ashgate Publishing.
- Li, Jinjing, & O’Donoghue, Cathal. (2013). A survey of dynamic microsimulation models: uses, model structure and methodology. International Journal of Microsimulation, 6(2), 3-55.
- Morrissey, Karyn, O'Donoghue, Cathal, Clarke, Graham, & Li, Jinjing. (2013). Using Simulated Data to Examine the Determinants of Acute Hospital Demand at the Small Area Level. Geographical Analysis, 45(1), 49-76.
- Li, Jinjing, & O’Donoghue, Cathal. (2012). Simulating Histories within Dynamic Microsimulation Models. International Journal of Microsimulation, 5(1), 52-76.
Besides academic paper publications, Dr. Li is the principal author and the collaborator of many economic simulation software. Some of his recent work includes,
- Australian Dynamic Spatial Population Simulation for the Australian Department of Immigration and Border Control
- NHMRC workforce simulation model for the National Health and Medicine Research Council Australia
- STINMOD+, a flexible tax and transfer policy simulation model for Australia, NATSEM
- “Smart and Skilled” Education policy microsimulation model for the New South Wales Department of Industry
- Australia Higher Education Reform Policy Simulation Tool for the Australian Labor Party
- Hungarian Dynamic Microsimulation-CGE model for the Hungarian Ministry of Public Administration and Justice
Areas of Supervision:
- Labour economics
- Statistical Modeling
- Tax and income issues