Research
My research operates at the intersection of demography, sociology, and epidemiology. I employ a wide variety of multi-source data—including census records, social surveys, biographies, and biomarkers—alongside quantitative and mixed methods to delve into these topics.
Work and Occupations
Using quantitative and computational methods to study the nature and trends of various types of work and their impact on health.
Relevant working papers and publications:
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Wanying Ling, Senhu Wang, Zhuofei Lu. 2025. Forthcoming. Working Time Mismatch and Employee Subjective Well-being Across Institutional Contexts: A Job Quality Perspective. Work, Employment and Society.
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Wanying Ling, Senhu Wang, Shuanglong Li. 2024. Diversity Patterns in Non-Standard Employment and Their Relationship with Self-Rated Health in Urban China from 2010 to 2021 Social Science & Medicine. 116827.
Population Health
Using various sources and types of data to understand population health from multiple dimensions and reveal patterns across different groups.
Relevant working papers and publications:
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Measuring Resilience to Chronic Pain in Population Surveys Using Hair Cortisol, with Tarani Chandola (The University of Hong Kong), Stephanie Cahill (University of Manchester) and Kumari Meena (University of Essex).
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Do Stressful Mondays Increase Cardiovascular Disease Risk? A Longitudinal Study of Older Adults in England, with Tarani Chandola (The University of Hong Kong).
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Expansion or compression? Understanding inequalities in healthy life expectancy for the Chinese elderly from a life course perspective.
Oral presentation at the Annual China Population Society Conference 2023 (Shanxi, China, July 2023), entitled Expansion or compression? Investigating healthy life expectancy of Chinese elderly from a life course perspective.
Oral presentation at the Annual SIGMA Research Symposium 2023 / 19th International Conference on Pensions, Insurance and Savings (Tokyo, Japan, May 2023), entitled Inequality of disability-free life expectancy of the Chinese elderly from a life course perspective.
Family Formation
Using novel data and methods to explore the causes and consequences of family formation (e.g., marriage, divorce, and childbirth).
Relevant working papers and publications:
- Structural Constraints on Fertility Intentions Across National Contexts: Evidence from a Six-Country Factorial Survey Experiment, with Senhu Wang (National University of Singapore), Sinn Won Han (The University of Hong Kong).
Tools, Codes and Notes
- (tools) ChineseDemopædia: Chinese-based Demographic Dictionary
- (codes) Healthy life expectancy and the Sullivan Method
- (notes) Notes for Decomposition of Differentials in Health Expectancies from Multistate Life Tables
Reading List
A curated reading list of mine.