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Table 8 Regression results - overcrowding as IV

From: Does overcrowding and health insurance type impact patient outcomes in emergency departments?

  Probit IV Probit OLS 2SLS
Time before Dr. 0.011403 *** 0.019043 ** 0.015416 *** 0.022015 ***
  0.001101 0.008156 0.001871 0.006755
Private Ins. -0.013445 *** -0.014009 *** -0.013687 *** -0.013342 ***
  0.001696 0.002031 0.001949 0.001945
Medicare -0.007951 ** -0.008128 ** -0.010053 *** -0.009675 ***
  0.002317 0.002546 0.002916 0.002916
No Insurance 0.003865 * 0.004258 * 0.005153 * 0.005292 *
  0.002496 0.002672 0.003225 0.003224
Black 0.008312 ** 0.008498 * 0.008167 * 0.007976 *
  0.004660 0.004881 0.004255 0.004250
Hispanic -0.004074 -0.004749 -0.004616 -0.005049
  0.003497 0.003755 0.003763 0.003780
White 0.001080 0.001027 0.000757 0.000659
  0.003697 0.003907 0.003836 0.003837
Male 0.009814 *** 0.010705 *** 0.010111 *** 0.010428 ***
  0.001649 0.002134 0.001659 0.001732
Primary Dr. -0.003180 * -0.003599 * -0.003446 * -0.003633 *
  0.001760 0.001889 0.001934 0.001922
Age -0.000032 -0.000007 0.000004 0.000029
  0.000047 0.000056 0.000042 0.000050
High Acuity 0.072523 *** 0.081609 *** 0.058099 ** 0.060079 ***
  0.022305 0.024797 0.018541 0.018440
Wald χ 2 307.05 215.89   178.85
F    19.58  
  1. *, ** and *** indicate a 1%, 5% and 10% significance level. Standard errors are robust. The complete sample for reported regressions has 31,359 patients.