Wei‐cheng Liu
Biographic Data
| ID | 4430160 |
|---|---|
| NAME | Wei‐cheng Liu |
| GIVEN NAMES | Wei‐cheng |
| FAMILY NAME | Liu |
| SIGNATURE | LIU W C |
| AFFILIATIONS | University of Illinois Urbana‐Champaign Urbana Illinois USA |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Patterns and determinants of multiple welfare programme participation among families with children in Taiwan: Evidence from panel data (2016–2022)
This study investigates multiple welfare programme participation patterns in Taiwan. Taiwan is a productivist welfare society with a social safety net system that is generous in design and has a package of fertility‐boosting assistance programmes to address low birth rates. The present study examines panel data using longitudinal latent class analysis (LLCA) and multinomial logistic regression to capture and depict participation patterns across a…
Patterns and determinants of multiple welfare programme participation among families with children in Taiwan: Evidence from panel data (2016–2022)
This study investigates multiple welfare programme participation patterns in Taiwan. Taiwan is a productivist welfare society with a social safety net system that is generous in design and has a package of fertility‐boosting assistance programmes to address low birth rates. The present study examines panel data using longitudinal latent class analysis (LLCA) and multinomial logistic regression to capture and depict participation patterns across a…
Patterns and determinants of multiple welfare programme participation among families with children in Taiwan: Evidence from panel data (2016–2022)
This study investigates multiple welfare programme participation patterns in Taiwan. Taiwan is a productivist welfare society with a social safety net system that is generous in design and has a package of fertility‐boosting assistance programmes to address low birth rates. The present study examines panel data using longitudinal latent class analysis (LLCA) and multinomial logistic regression to capture and depict participation patterns across a…
Gender, Labor, and Family Dynamics (1 works) · Intergenerational Family Dynamics and Caregiving (1 works) · Poverty, Education, and Child Welfare (1 works)