Table 4.

Fixed-Effects Regression of County-Level Pediatrician Workforce per 1000 Residents, 2013-2018 (n = 600 County-Years)

VariablePrimary AnalysisSensitivity Analysis*
Coefficient95% CIPCoefficient95% CIP
Gini coefficient ×100.20−0.01, 0.420.0640.19−0.02, 0.400.081
Year−0.02−0.05, 0.010.209−0.04−0.07, −0.010.008
Percent of adults with college degree0.020.00, 0.040.0940.02−0.003, 0.040.085
Median family income ($1000s)−0.01−0.03, 0.000.064−0.01−0.03, 0.000.108
Average family size−0.09−0.16, −0.010.020−0.08−0.15, −0.0020.045
Percent of males (18+) who are married−0.01−0.02, −0.0030.020−0.01−0.02, −0.0010.025
Percent male0.00−0.05, 0.050.928−0.04−0.9, 0.020.178
Percent Black or African American−0.04−0.08, −0.0010.046−0.06−0.10, −0.020.005
Percent Hispanic or Latino−0.02−0.10, 0.050.5380.01−0.06, 0.090.742
Median age (years)0.050.003, 0.100.037
Percent population <18 years old−0.14−0.21, −0.07<0.001
  • Abbreviation: CI, Confidence interval.

  • * The sensitivity analysis used percent population <18 years old as the age measure in each county and year, rather than median age, as an alternative strategy to account for the size of the pediatric population and associated demand for pediatricians.