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Table 2 Summary statistics testing for the endogeneity of the health insurance variable

From: Are there differences between unconditional and conditional demand estimates? implications for future research and policy

Statistics Tests* Public providers Private providers
  DF** Statistic p-value DF** Statistic p-value
Unconditional estimates (N = 16485):
Askes & Jamsostek       
-Wu-Hausman F(2,16453) 0.7326 0.4807 F(2,16453) 0.19261 0.8248
-Durbin-Wu-Hausman Chi-sq(2) 1.4679 0.4800 Chi-sq(2) 0.38597 0.8245
Askes only       
-Wu-Hausman F(1,16454 0.0850 0.7707 F(1,16454) 0.34298 0.5581
-Durbin-Wu-Hausman Chi-sq(1) 0.0851 0.7705 Chi-sq(1) 0.34361 0.5578
Jamsostek only       
-Wu-Hausman F(1,16454) 0.8811 0.3479 F(1,16454) 0.18927 0.6635
-Durbin-Wu-Hausman Chi-sq(1) 0.8828 0.3475 Chi-sq(1) 0.18962 0.6632
Conditional estimates (N = 5055):
Askes & Jamsostek       
-Wu-Hausman F(2,5023) 0.14599 0.8642 F(2,5023) 1.34468 0.2607
-Durbin-Wu-Hausman Chi-sq(2) 0.29383 0.8634 Chi-sq(2) 2.70505 0.2586
Askes only       
-Wu-Hausman F(1,5024) 0.00437 0.9473 F(1,5024) 0.47523 0.4906
-Durbin-Wu-Hausman Chi-sq(1) 0.00439 0.9472 Chi-sq(1) 0.47811 0.4893
Jamsostek only       
-Wu-Hausman F(1,5024) 0.24074 0.6237 F(1,5024) 2.64705 0.1038
-Durbin-Wu-Hausman Chi-sq(1) 0.24221 0.6226 Chi-sq(1) 2.66198 0.1028
  1. *Statistic tests were calculated using Instrumental Variable estimation [15].
  2. ** Degree of freedom (DF).