Economics Research International

Research Article

Effect of Physician Gender on Demand for Pap Tests

Table 2

Pap test utilization.
VariablesNumber of observationsMeanStandard deviation
Full sample10,408 0.6533 0.4759
Regional ratio of female doctors (%)   
 Below 10%1,285 0.6981 0.4593
 Between 10% and 15%1,885 0.6106 0.4877
 Between 15% and 20%3,801 0.6440 0.4789
 Above 20%3,437 0.6704 0.4702
Age   
 Below 301,480 0.3986 0.4898
 Between 30 and 402,482 0.7562 0.4294
 Between 40 and 502,346 0.7856 0.4105
 Between 50 and 601,554 0.7452 0.4359
 Between 60 and 701,401 0.6196 0.4857
 Above 701,145 0.4052 0.4912
Education   
 Below 6 years4,426 0.6028 0.4894
 Between 6 and 9 years1,473 0.7610 0.4266
 Between 9 and 12 years2,546 0.7474 0.4346
 Between 12 and 16 years1,795 0.5772 0.4941
 Above 16 years168 0.4286 0.4964
Employment status   
 Working5,114 0.6756 0.4682
 Not working5,294 0.6318 0.4823
Marital status   
 Married3,039 0.3991 0.4898
 Not married7,369 0.7582 0.4282
Frequent menstrual pain   
 Yes4,840 0.6727 0.4693
 No5,568 0.6365 0.4811
Income level (from low to high)    
 Level 12,779 0.6589 0.4742
 Level 22,180 0.5839 0.4930
 Level 31,867 0.6942 0.4609
 Level 42,353 0.6515 0.4766
 Level 5855 0.6702 0.4704
 Level 6238 0.7983 0.4021
 Level 7136 0.7647 0.4258
Ethnic group   
 Minan7,830 0.6487 0.4774
 Hakka1,384 0.6893 0.4629
 Mainlander852 0.6608 0.4737
 Others342 0.5965 0.4913