Cost Effectiveness and Resource Allocation

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

*Statistic tests were calculated using Instrumental Variable estimation [15].
** Degree of freedom (DF).

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