A/Prof Han Li
Associate Professor
Department of Economics
68 Scholarly works
8 Projects
HIGHLIGHTS
2026
Media
Rising insurance costs risk turning Australian retirements into a 'prison'
2026
Journal article
Dependence modelling across major causes of death via time-varying copula state space models
DOI: 10.1093/jrsssc/qlaf0492026
Journal article
Modeling cold-related excess deaths via stationary vine copulas
DOI: 10.1080/03461238.2026.26503212024
Journal article
Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement
DOI: 10.1016/j.ijforecast.2022.08.0072023
Research Grant
Modeling and Forecasting Premature Cardiovascular Mortality: The Role of Obesity and Education
2022
Research grants (international)
Catastrophe Loss Prediction via Natural Language Processing
2022
Research Grant
Analyzing Geographical Variation in Cause-of-Death Mortality for China: Evidence From 2004 to 2017
RECENT SCHOLARLY WORKS
2026
Journal article
On measuring COVID-19 excess mortality: Insights and challenges
DOI: 10.1016/j.insmatheco.2025.1031992026
Journal article
Corrigendum to “The stochastic behavior of electricity prices under scrutiny: Evidence from spot and futures markets” [Energy Economics, 144, April 2025, 108296]
DOI: 10.1016/j.eneco.2025.1090822025
Journal article
Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
DOI: 10.1016/j.ijforecast.2024.10.0022025
Journal article
Catastrophe Duration and Loss Prediction via Natural Language Processing variance
2025
Journal article
The stochastic behavior of electricity prices under scrutiny: Evidence from spot and futures markets
DOI: 10.1016/j.eneco.2025.1082962025
Journal article
Wildfire Loss Modeling: A Flexible Semiparametric Approach
DOI: 10.1080/10920277.2024.23593982025
Journal article
Boosting domain-specific models with shrinkage: An application in mortality forecasting
DOI: 10.1016/j.ijforecast.2024.05.001
RECENT PROJECTS
2025
Research grants (international)
Demystifying Trends in Dementia Mortality Using Multiple Cause-of-Death Data: A Comorbidity Approach