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Ngoc Dao

Department of Criminal Justice and Public Affairs


Ngoc Dao

I am a public economist by training whose research focuses on retirement security, aging, caregiving, and long-term care workforces. I  hold Ph.D. in Public Affairs from Indiana University, the United States. I am currently Assistant Professor of Public Administration at Kean University, New Jersey, United States. My research  uses quasi-experimental methods and large-scale survey data (including administrative data)  to evaluate public policies affecting older adults and their families in the context of the U.S.

FURTHER INFORMATION

Countries United States;
Topics Access to care; Age-friendliness; Ageing in place; Artificial Intelligence; Autonomy; Care economy; Care in rural and other non-urban settings; Care inequalities; Care innovations; Care needs poverty and deprivation; Care outcomes; Care work and migration; Climate Change and LTC; Cohousing; Costs of LTC; Data science; Deinstitutionalisation; Demand for Long-Term Care; Dementia care and support; Economics of LTC; Ecosystems of care; Employment education and family carers; End-of-life care and LTC; Evaluation of LTC systems and services; Exercise and healthy ageing; Financing LTC; Gender and care; Healthcare access in LTC; Home/domiciliary care; Housing Adaptations; Housing and care; Implementation; Information and data systems in LTC; Living alone; Living arrangements; Loneliness among older people; Long term care subsidies; LTC and people with learning disabilities; LTC and people with mental health conditions; LTC and younger people; LTC insurance; LTC Policy; LTC Reforms; LTC systems in LMIC countries; LTC Workforce; Minorities and LTC; Outcome measurement in LTC; Outcomes for unpaid/informal carers; Parent carers; Pensions; Prevention and rehabilitation and LTC; Quality of care; Relationship between LTC use and hospital use; Research gaps and priorities in LTC; Respite care; Risk in Long-Term Care; Shaping LTC markets and provider behaviour; Social connection; Social Innovation in LTC; Social Insurance; Social Protection; Support for unpaid carers; Technology and LTC; Universal design and LTC; Unmet needs; Unpaid / informal care; Value of LTC; Volunteering and LTC; Workforce capability; Workforce pay and conditions; Younger carers;
Methods Analysis of administrative data; Causal inference in Long-Term Care; Data science and LTC research; Difference-in-differences; Observational studies; Policy analysis; Quantitative data analysis; Quasi-experimental methods; Service mapping; Surveys;
Role Research;
Interest Groups Ageing and Place; Care home markets and regulation; Community-based approaches to dementia care; Continence Care in Long-Term Care; Data Science; Economics of Long-Term Care; Innovation in Long-Term Care; Integrated Long-Term Care; Long-Term Care Policy; Migration Mobility and Care Workers; Quality improvement in Long-Term Care; Quasi-experimental methods; Strengthening Responses to Dementia; Technology and Long-Term Care; Unmet need inequalities and care poverty (UNICAP); Workforce Capacity and Capability; Working Conditions and Wages in Long-Term Care;
LinkedInhttps://www.linkedin.com/in/ngoc-dao-3216a61ab/
Research interests

Economics of aging, retirement savings, retirement behaviors, economics of informal care, LTC policies, LTC workforces

Key publications

Dao, N., & Rao, M. (2026). Does the Catch-up contribution policy improve retirement preparedness?. Work, Aging and Retirement12(1), 17-35.

Dao, N., & Collins, J. M. (2025). The impact of state income tax breaks on savings and income security in retirement. Work, Aging and Retirement, waaf001.

Dao, N. (2024). Does a requirement to offer retirement plans help low‐income workers save for retirement? Early evidence from the OregonSaves program. Contemporary Economic Policy42(3), 524-543.

Dao, N. (2024). Federal minimum wage expansion to homecare workers: employment and income effects. Labour Economics87, 102511.