Effect of Physician Gender on Demand for Pap Tests
Table 4
Effects of regional ratio of female doctors on preventive services.
Full sample
Age ≦ 30
30 < Age ≦ 40
40 < Age ≦ 50
50 < Age ≦ 60
60 < Age ≦ 70
70 < Age
Dependent variable
Pap test
0.00222
0.00533
0.000906
0.00147
0.00288
0.000287
0.00305
(0.000925)
(0.00263)
(0.00163)
(0.00160)
(0.00209)
(0.00242)
(0.00285)
Bone density test
0.000568
0.000137
0.00229
−0.00159
0.00257
−0.00138
0.00330
(0.000843)
(0.00155)
(0.00155)
(0.00186)
(0.00245)
(0.00244)
(0.00260)
Clinical breast exam
0.000697
0.00182
0.000643
0.00102
−0.000858
0.00291
(0.000857)
(0.00194)
(0.00178)
(0.00193)
(0.00239)
(0.00226)
(0.00205)
Blood pressure test
−0.000119
0.00249
−0.000975
−0.00205
0.00187
0.00157
−0.000737
(0.000853)
(0.00254)
(0.00190)
(0.00179)
(0.00189)
(0.00170)
(0.00188)
Cholesterol test
−0.00113
0.000105
−0.00163
−0.00343
−0.00118
0.00326
0.000463
(0.000956)
(0.00238)
(0.00179)
(0.00200)
(0.00242)
(0.00241)
(0.00278)
Liver function test
−0.000794
0.00123
−0.000181
−0.00181
−0.00128
−0.000641
−0.000501
(0.000932)
(0.00243)
(0.00180)
(0.00198)
(0.00246)
(0.00249)
(0.00286)
Proctoscopy
0.000230
0.000261
0.000153
−0.000356
0.00225
−0.000812
0.000303
(0.000372)
(0.000535)
(0.000545)
(0.000775)
(0.00124)
(0.00130)
(0.00152)
Observations
10,408
1,480
2,482
2,346
1,554
1,401
1,143
Note: independent variables are the same as those reported in Table 3. Marginal effects are presented. Robust standard errors in parentheses. “” is significant at 0.05 Type 1 error level.
