Medicaid Expansion and State Capacity Panel Data (2010–2019)

A 500-row state-level panel dataset tracks 50 U.S. states from 2010 to 2019 to examine the relationship between state capacity and Medicaid expansion. Developed by Harish Gupta, the data integrates administrative capacity metrics with public healthcare coverage rates to evaluate federal policy implementation.

Use Cases

• Modeling the effect of Medicaid expansion timing on state-level healthcare coverage rates
• Testing administrative capacity theory using Squire Index scores as a moderator
• Applying staggered difference-in-differences estimators to panel data using the provided R script

Strengths

• Balanced panel of 50 states over 10 years
• Includes Squire Index scores for administrative capacity
• Provides R replication scripts for staggered difference-in-differences

Limitations

• Small sample size of 500 observations
• State-level aggregation prevents individual-level demographic analysis
• Data ends in 2019, omitting COVID-19 era policy shifts

Provenance

Source

Harish Gupta, Harvard Dataverse

Collection Method

Compilation of public administrative records and legislative indices

Time Range

2010-2019

Freshness

Last updated March 2026; data covers up to 2019.

Geography

United States (50 states)