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Appendix C  Additional Regression Results (continued)

Table C.2 – Income effects of secondary and tertiary education of females: 1986 and 1996
  Maori females Part-Maori females European females Other females
  1986 1996 1986 1996 1986 1996 1986 1996
Intercept 8.1840 8.4494 7.9040 8.3508 8.1418 8.5343 8.2951 8.3268
(175.73) (168.81) (86.28) (152.28) (545.03) (592.14) (106.71) (115.63)
School Certificate 0.0718 0.1266 0.0659 0.0959 0.0620 0.0826 0.0547 0.1973
(4.88) (7.59) (2.64) (5.59) (14.27) (17.39) (3.14) (10.16)
U.E./Sixth Form Cert. 0.1626 0.2644 0.1585 0.1825 0.0925 0.1475 0.1292 0.2407
(7.75) (12.90) (4.98) (9.23) (16.88) (27.00) (5.66) (10.96)
Bursary 0.0656 0.0885 0.1521 0.0458 0.0366 -0.0706 -0.0320 -0.0210
(1.28) (2.52) (2.63) (1.74) (3.53) (9.31) (0.78) (0.79)
Diploma 0.2524 0.2703 0.2308 0.2528 0.1614 0.1788 0.1308 0.1696
(16.15) (14.42) (8.26) (14.01) (36.55) (37.26) (6.95) (8.73)
Bachelor's degree 0.4269 0.4903 0.4490 0.3553 0.2832 0.2853 0.2175 0.2103
(7.48) (12.46) (7.24) (11.87) (32.81) (42.13) (5.70) (9.03)
Postgraduate qual. 0.3189 0.7290 0.4159 0.5229 0.3688 0.4371 0.3163 0.3488
(2.85) (13.54) (5.81) (12.12) (35.34) (52.18) (5.71) (10.57)
Hours worked (per week) 0.0189 0.0141 0.0208 0.0170 0.0224 0.0206 0.0198 0.0179
(31.74) (31.54) (21.29) (36.93) (136.66) (165.75) (30.02) (37.67)
Managerial/administrative occupation 0.0366 0.0805 0.2223 0.1074 0.2748 0.1692 0.1672 0.0976
(0.60) (2.84) (3.64) (4.62) (28.64) (31.30) (2.41) (3.84)
Professional -0.0158 0.0525 0.0917 0.0852 0.1108 0.1708 0.1102 0.2541
(0.70) (2.29) (2.68) (4.11) (22.85) (34.50) (4.43) (12.09)
Service -0.3270 -0.2607 -0.2102 -0.2886 -0.3373 -0.2879 -0.3209 -0.2820
(19.08) (13.28) (7.29) (16.04) (69.34) (61.39) (15.86) (14.68)
Agricultural -0.4316 -0.3653 -0.3126 -0.2013 -0.4204 -0.2218 -0.4278 -0.2286
(10.73) (8.49) (3.76) (4.13) (30.68) (17.45) (5.62) (3.40)
Product./transport workers -0.2971 — -0.2047 — -0.2682 — -0.2537 —
(18.25)   (6.28)   (49.30)   (10.71)  
Sales -0.3018 — -0.2228 — -0.2038 — -0.2999 —
(10.63)   (6.04)   (37.50)   (9.57)  
Trade orientated — -0.2276 — -0.2415 — -0.2021 — -0.1635
  (4.82)   (4.95)   (15.47)   (3.89)
Plant and machine operator — -0.2162 — -0.2875 — -0.3223 — -0.2630
  (8.55)   (10.18)   (37.89)   (10.39)
Elementary/low-skilled — -0.3577 — -0.3285 — -0.3666 — -0.3226
  (17.02)   (14.13)   (50.08)   (14.17)
Technical — 0.0218 — 0.0280 — 0.0505 — 0.1296
  (1.02)   (1.51)   (15.91)   (6.09)
Mining industry 0.2301 0.6455 0.3797 0.7021 0.1150 0.1007 0.1116 0.4539
(2.74) (4.10) (3.15) (3.19) (3.49) (1.79) (0.56) (2.83)
Manufacturing 0.2211 0.2998 0.3100 0.2578 0.1508 0.0965 0.0044 0.2311
(6.00) (7.32) (3.76) (5.34) (11.84) (7.68) (0.06) (3.71)
Electricity 0.2577 0.4976 0.3837 0.3934 0.2470 0.2017 0.0309 0.4829
(3.01) (6.91) (3.23) (3.63) (11.42) (8.21) (0.21) (5.07)
Construction 0.0141 0.1370 0.0917 0.1166 0.0198 0.0438 -0.1552 0.1986
(0.22) (1.97) (0.82) (1.76) (1.17) (2.63) (1.63) (2.10)
Wholesaling 0.0266 0.0259 0.1796 0.0370 0.0275 -0.0784 -0.0866 0.0010
(0.70) (0.63) (2.23) (0.78) (2.19) (6.44) (1.26) (0.02)
Transportation 0.1572 0.2836 0.3491 0.3239 0.1917 0.1613 0.0323 0.3238
(3.95) (6.18) (4.23) (6.26) (14.60) (11.89) (0.46) (4.90)
Finance 0.1084 0.2899 0.3273 0.3098 0.1746 0.1663 0.1074 0.3357
(2.59) (6.64) (4.06) (6.41) (13.82) (13.53) (1.55) (5.32)
Social services 0.0739 0.0889 0.1917 0.1079 0.0715 -0.0658 -0.0479 0.1388
(2.03) (2.23) (2.47) (2.30) (5.79) (5.50) (0.71) (2.23)
Married -0.1436 -0.1069 -0.2083 -0.1480 -0.1983 -0.1677 -0.1047 -0.1212
(12.25) (8.45) (9.88) (11.90) (63.36) (55.60) (7.83) (9.72)
Major urban 0.0675 0.1043 0.0497 0.1488 0.0788 0.1208 0.0642 0.0832
(5.21) (6.99) (2.08) (9.67) (19.16) (29.61) (2.38) (3.34)
Rural -0.0545 -0.0495 -0.0476 0.0383 -0.0423 0.0378 -0.0615 0.0309
(2.83) (2.37) (1.33) (1.73) (6.78) (6.43) (1.27) (0.63)
Experience 0.03044 0.05259 0.04108 0.05432 0.02375 0.04219 0.02733 0.04930
(124.84) (25.79) (15.24) (28.94) (55.83) (89.15) (13.29) (24.39)
Experience2 -0.00047 -0.00089 -0.00073 -0.00095 -0.00032 -0.00068 -0.00041 -0.00081
(12.30) (20.47) (11.04) (21.95) (33.42) (65.94) (8.47) (17.82)
F 213.81 203.44 86.98 276.80 3687.49 4764.87 126.78 274.08
Sample size 16,898 13,241 6,007 15,136 228,523 234,079 12,031 16,156

Dependent variable: The natural logarithm of annual income

Least squares regression (t-ratios based on White consistent standard errors, in parentheses)

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