Medical Financial Assistance Impact on Rural Labor Supply in China

Yarong Wang's dataset analyzes the impact of Medical Financial Assistance (MFA) on non-farm labor supply in low-income rural Chinese households using two-wave household panel data. The study employs two-way fixed effects models to evaluate effects on participation rates and working time, revealing incentive effects, localization bias, and threshold characteristics. The dataset was last updated on figshare in May 2026.

Use Cases

• Evaluate the labor incentive effect of welfare eligibility based on household panel data.
• Analyze heterogeneous policy impacts on different household types (older adult, major disease, employment assistance) mentioned in the description.
• Study the threshold characteristics of welfare programs where eligibility, rather than amount, is the critical trigger.
• Model localization bias in labor supply responses to social assistance programs.
• Assess the marginal effects of increased assistance amounts on labor participation.

Strengths

• Dataset is 29.0 MB, indicating a substantial volume of data.
• Based on two-wave household panel data from deep poverty areas, providing longitudinal insights.
• Results include specific quantified impacts, such as a 2.0 percentage point increase in participation and a 4.87-day increase in working time.
• Released under the CC-BY-4.0 license, allowing for open reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description notes MFA's insignificant effect on non-local non-farm employment and weak marginal effects of increased assistance.

Provenance

Source

Yarong Wang

Collection Method

Likely contains household survey panel data from deep poverty areas in rural China.

Freshness

Last updated 2026-05-18 05:43:07; freshness should be verified.

Geography

Rural China, specifically deep poverty areas.