Hua Zan

Assistant Researcher of Family Economics, Center on the Family, University of Hawai'i at Manoa
Chapter Member: Hawaii SSN
Areas of Expertise:

About Hua

Zan's research interests include (1) health and health behaviors, and (2) family economic well-being related to family decision making such as caregiving, employment, saving, and retirement. 


Why Hawai'i's Families and Businesses Would Benefit from a New Paid Family Leave Law

  • Noreen Kohl
  • Ivette Rodriquez Stern


"The “Model Minority” Myth: Asian American Middle Class before, during, and after the Great Recession" (with Jessie X. Fan). The Singapore Economic Review (2017): 1-17.

Investigates trends in Asian American middle-class status attainment before, during, and after the Great  Recession and compare such attainment to that of non-Hispanic Whites.

"Paid Family Leave: Benefiting Hawaiʻi Businesses and the Economy," (with Ivette Rodriquez Stern and Hua Zan), University of Hawai‘i, Center on the Family, 2017.

Shows how a paid family leave policy in Hawaii could benefit the local businesses and the state economy.

"The Heterogeneity in Financial and Time Burden of Caregiving to Children with Chronic Conditions" (with Scharff). Maternal Child Health 19, no. 3 (2015): 615-625.

Examines the financial and time burdens associated with caring for children with chronic conditions, focusing on disparities across types of conditions.

"Consumption Patterns and Economic Status of Older Households in the United States" (with Seonglim Lee, Sang-Hee Sohn, Eunyoung Rhee, and Yoon G. Lee). Monthly Labor Review (2014).

Holistically maps the consumption patterns of older Americans and compares the economic status of different groups (clusters) of elderly U.S. consumers. 

"Cohort Effects of Household Expenditures on Food Away from Home" (with Jessie X. Fan). Journal of Consumer Affairs 44, no. 1 (2010): 213-233.

Analyzes data from 23 years of the US Consumer Expenditure Survey (1982-2004) to investigate cohort effects on food-away-from-home (FAFH) expenditures using the age, period, and cohort (APC) model.