From: A spatial analysis of precariousness and the gender wage gap in Mexico, 2005–2018
SAR models | Fixed effects | |||||||
---|---|---|---|---|---|---|---|---|
Manufacturing sector | High tertiary | Low tertiary | Total tertiary sector | |||||
Precariousness difference | − 0.29 a | − 0.32 a | − 0.47a | − 0.45a | − 0.09 | − 0.09 | − 0.25a | − 0.26 a |
(− 2.75) | (− 2.96) | (− 4.21) | (− 4.01) | (− 1.22) | (−1.26) | (− 2.87) | (− 2.98) | |
Training difference | 0.009 | 0.01 | 0.05 c | 0.05c | − 0.02 | − 0.01 | − 0.003 | − 0.004 |
(0.73) | (0.71) | (1.93) | (1.87) | (− 1.08) | (−0.99) | (− 0.15) | (− 0.19) | |
Difference in experience | 0.39 b | 0.37b | 0.42 b | 0.38 c | 0.06 | 0.007 | 0.14 | 0.11 |
(2.41) | (2.22) | (2.05) | (1.82) | (0.36) | (0.04) | (0.82) | (0.61) | |
Difference in occupation | 0.38a | 0.46 b | 0.45 a | − 0.23 | − 0.17 c | − 1.29 a | 0.17 b | − 0.17 |
(3.92) | (2.02) | (4.51) | (− 0.45) | (− 1.89) | (−2.65) | (2.19) | (− 0.35) | |
Difference in education | 0.61b | 1.64a | 1.59 a | 1.61 a | ||||
(2.41) | (4.41) | (5.87) | (5.35) | |||||
Difference in primary education | − 0.07 | 0.05 | 0.09 | − 0.02 | ||||
(− 0.95) | (0.39) | (0.91) | (− 0.159) | |||||
Difference in secondary education | − 0.05 | 0.09 | 0.14 | − 0.08 | ||||
(− 0.54) | (0.49) | (0.87) | (− 0.46) | |||||
Difference in under/post-graduate studies | 0.05 | 0.47a | 0.78 a | 0.38 c | ||||
(0.81) | (2.76) | (3.44) | (1.93) | |||||
Rho | 0.01 | 0.01 | 0.08 | 0.07 | 0.03 | 0.04 | 0.11 c | 0.12 b |
(0.15) | (0.17) | (1.38) | (1.33) | (0.52) | (0.77) | (1.89) | (2.15) | |
LM1 | 5.57a | 4.91a | 5.45a | 5.04a | 4.32a | 3.26a | 7.57a | 6.55a |
LM2 | − 0.97 | 1.00 | 1.94c | 1.88b | 0.93 | 0.84 | 2.54b | 2.1b |
CLMlambda | 0.09 | 0.05 | 1.36 | 1.43 | 0.54 | 0.75 | 1.94b | 2.17b |
Hausman spatial | 13.72b | 30.44a | 5.53 | 3.29 | 10.86c | 11.33 | 7.83 | 3.11 |