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Table 6. County data: Ordinary least squares (OLS) estimates—Number of physicians per 100,000 residents
(1996, 1997, 1998, 1999, and 2000 data with dummy time variables; N =14,640)

Explanatory variable Coefficient Standard error t statistic
Intercept 167.49 7.80 21.47
Residency program in hospital in county (yes = 1, no = 0) 169.68 8.80 19.30
Percent of  population unemployed -285.53 44.70 -6.39
Births per 100,000 population  -0.02 0.005 -3.84
Measures of rural influence (0 = least rural, 9 = most rural) -8.19 0.65 -12.57
High HMO penetration (above 30 percent) 18.87 4.43 4.26
Temperate climate (average temp>70 degrees) 60.50 15.89 3.81
State law capping damage awards in malpractice cases (1=yes, 0=no) 13.65  3.30 4.13
 1997 (1=yes, 0=no) 2.29   .39 5.91
 1998 (1=yes, 0=no) 4.66 .60 7.74
 1999 (1=yes, 0=no) 6.11 .72 8.44
 2000 (1=yes, 0=no) 7.20 0.96 7.53

R2= .42. Robust standard errors are corrected for clustering at the county.

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