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4  Results (continued)

Table 2d – Effects of education on incomes of “Other” ethnic groups: 1986 and 1996
  Males Females
  1986 1996 1986 1996
Intercept 8.8431 8.6581 8.2951 8.3268
(188.35) (162.12) (106.71) (115.63)
Highest qualification        
School Certificate 0.0495 0.1820 0.0547 0.1973
(3.52) (9.85) (3.14) (10.16)
U.E./Sixth Form Cert. 0.1334 0.2640 0.1292 0.2407
(7.17) (13.73) (5.66) (10.96)
Bursary -0.0247 0.0545 -0.0320 -0.0210
(0.84) (2.29) (0.78) (0.79)
Diploma 0.1937 0.2508 0.1308 0.1696
(17.21) (16.08) (6.95) (8.73)
Bachelor's degree 0.3235 0.2136 0.2175 0.2103
(13.38) (10.38) (5.70) (9.03)
Postgraduate 0.4154 0.3790 0.3163 0.3488
(13.96) (14.69) (5.71) (10.57)
Hours worked (per week) 0.0091 0.0127 0.0198 0.0179
(19.18) (29.20) (30.02) (37.67)
Married 0.0815 0.0511 -0.1047 -0.1212
(8.08) (4.30) (7.83) (9.72)
Major urban -0.1050 -0.0702 0.0642 0.0832
(6.51) (3.26) (2.38) (3.34)
Rural -0.0937 -0.0002 -0.0615 0.0309
(2.94) (0.00) (1.27) (0.63)
Experience 0.03599 0.05819 0.02733 0.04930
(22.66) (31.01) (13.29) (24.39)
Experience2 -0.00061 -0.00101 -0.00041 -0.00081
(17.42) (24.59) (8.47) (17.82)
F 221.60 350.78 126.78 274.08
Sample size 17,273 19,930 12,031 16,156

Dependent variable: the natural logarithm of annual income Specification includes one digit occupation and industry dummies. Least squares regression coefficients (t-ratios based on White consistent standard errors)

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