U.S. Married Women's Health Insurance and Labor Data from 1993

1993 cross-sectional data from the United States focuses on married women's labor supply and health insurance coverage. The dataset includes 13 attributes such as hours worked, insurance status, education, race, Hispanic origin, work experience, children, husband's income, and region. It was sourced from OpenML under a GPL license.

Use Cases

• Predicting weekly hours worked by wives based on demographic and economic features.
• Analyzing the relationship between husband's income and a wife's health insurance coverage.
• Modeling the impact of children's age groups on maternal labor supply.
• Investigating regional differences in health insurance access and work patterns.

Strengths

• Includes 13 distinct features covering demographic, economic, and geographic variables.
• Data is from a specific year (1993) and country (United States), providing a clear historical snapshot.
• Target variable (hours worked) is paired with multiple potential explanatory factors like education and experience.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Data may reflect temporal and geographic bias inherent to a single-year U.S. study.

Provenance

Source

OpenML

Collection Method

Cross-sectional study

Time Range

1993

Freshness

Last updated date is unknown.

Geography

United States