By Associate Professor Katja Hanewald

Working Papers

Chen S; Chen S; Si Y; Hanewald K; Bateman H; Li B; Xu X; Samtani S; Wu C; Brodaty H, 2023, Aggregate social factors, genetic predispositions, and lifestyle with risk of dementia: A long-term cohort study, http://dx.doi.org

Deng Y; Fang H; Hanewald K; Wu S, 2021, Delay the Pension Age or Adjust the Pension Benefit? Implications for Labor Supply and Individual Welfare in China, 28897, http://dx.doi.org10.3386/w28897, https://www.nber.org/papers/w28897

Eling M; Omid G; Hanewald K, 2021, Willingness to take financial risks and insurance holdings: A European survey, No. 2021/04, http://dx.doi.org, https://www.cepar.edu.au/publications/working-papers/willingness-take-financial-risks-and-insurance-holdings-european-survey

Wang Q; Hanewald K; Wang X, 2020, Multi-State Health Transition Modeling Using Neural Networks, Wiley, No. 2020/25, http://dx.doi.org10.1111/jori.12364, https://www.cepar.edu.au/publications/working-papers/multi-state-health-transition-modeling-using-neural-networks

Lu Q; Hanewald K; Villegas AM; Wang X, 2020, Subnational old-age mortality modeling: Accounting for underreporting in a Bayesian framework, 2020/23, http://dx.doi.org10.26190/unsworks/27736, https://www.cepar.edu.au/publications/working-papers/subnational-old-age-mortality-modeling-accounting-underreporting-bayesian-framework

Zheng W; Jia R; Lyu Y; Hanewald K, 2020, The impact of expected pensions on consumption: Evidence from China, ARC Centre of Excellence in Population Ageing Research (CEPAR), No. 2020/03, http://dx.doi.org, https://cepar.edu.au/publications/working-papers/impact-expected-pensions-consumption-evidence-china

Li H; Hanewald K; Wu S, 2020, Healthy Life Expectancy in China: Modeling and Implications for Public and Private Insurance, SSRN, http://dx.doi.org10.2139/ssrn.3550682, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3550682

Lu Q; Hanewald K; Wang X, 2019, Bayesian hierarchical multi-population mortality modelling for China's provinces, 2019/17, http://dx.doi.org10.26190/unsworks/27500, https://www.cepar.edu.au/publications/working-papers/bayesian-hierarchical-multi-population-mortality-modelling-chinas-provinces

Yang S; Hanewald K, 2019, Life Satisfaction of Older Chinese: The Role of Health and Health Insurance, Elsevier BV, 2019/16, http://dx.doi.org10.2139/ssrn.3476458, https://www.cepar.edu.au/publications/working-papers/life-satisfaction-older-chinese-role-health-and-health-insurance

Hanewald K; Jia R; Liu Z, 2019, Why is inequality higher among the old? Evidence from China, Elsevier, 2019/10, http://dx.doi.org10.1016/j.chieco.2021.101592, https://www.cepar.edu.au/publications/working-papers/why-inequality-higher-among-old-evidence-china

Hanewald K; Bateman H; Fang H; Wu S, 2018, Is There a Demand for Reverse Mortgages in China? Evidence from Two Online Surveys, Elsevier, 2018/22, http://dx.doi.org10.1016/j.jebo.2019.10.023, https://www.cepar.edu.au/publications/working-papers

Li H; Hanewald K; Wu S, 2017, Estimating Healthy Life Expectancy: A Province-by-Province Study for China, 2017/14, http://dx.doi.org10.26190/unsworks/26327, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3027825

Hanewald K; Han L; Shao AW, 2017, Modeling Multi-State Health Transitions in China: A Generalized Linear Model with Time Trends, http://dx.doi.org, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2971798

Hanewald K; Kluge F, 2014, The Impact of Family Structure on Risk Attitudes and Financial Decisions during the Financial Crisis, http://dx.doi.org

Shao AW; Sherris M; Hanewald K, 2013, Disaggregated house price indices, 2013ACTL09, http://dx.doi.org

Blackburn C; Hanewald K; Olivieri A; Sherris M, 2013, Life Insurer Longevity Risk Management, Solvency and Shareholder Value, 2013ACTL20, http://dx.doi.org

Hanewald K; Sherris M, House Price Risk Models for Banking and Insurance Applications, 201118, http://dx.doi.org

Nirmalendran M; Sherris M; Hanewald K, Solvency Capital, Pricing and Capitalization Strategies of Life Annuity Providers, 201213, http://dx.doi.org

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