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Contact


Email

han.li@unimelb.edu.au

Credentials


Position
Associate Professor
Department of Economics
Education
PhD
Monash University
Bachelors Degree (Honours)
University of Melbourne
ORCID

0000-0001-7758-2350

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/qlaf049
  • 2026

    Journal article

    Modeling cold-related excess deaths via stationary vine copulas
    DOI: 10.1080/03461238.2026.2650321
  • 2024

    Journal article

    Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement
    DOI: 10.1016/j.ijforecast.2022.08.007
  • 2023

    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
Han Li

Latest Honours,
Awards and Fellowships


2023
Han was the winner of the 2023 Deans’ Research Engagement and Partnership Award by the University of Melbourne. The University of Melbourne
2018
Han was the winner of the prestigious Mollie Holman Doctoral Medal for Thesis Excellence by Monash University. Monash University

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    On measuring COVID-19 excess mortality: Insights and challenges
    DOI: 10.1016/j.insmatheco.2025.103199
  • 2026

    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.2025.109082
  • 2025

    Journal article

    Constructing hierarchical time series through clustering: Is there an optimal way for forecasting?
    DOI: 10.1016/j.ijforecast.2024.10.002
  • 2025

    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.2025.108296
  • 2025

    Journal article

    Wildfire Loss Modeling: A Flexible Semiparametric Approach
    DOI: 10.1080/10920277.2024.2359398
  • 2025

    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

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