Table 5. Pay gap between public and private sector: Bivariate probit model
Males |
Females | |||
β* = βpri |
β* = βpub |
β* = βpri |
β* = βpub | |
Predicted log wages |
ln Wpub = 2.2400 |
ln Wprri = 2.0258 |
ln Wpub = 2.1518 |
ln Wprri = 1.7365 |
ln w pub - ln wpri |
0.2142 ** |
0.4152 ** | ||
0.2913 ** |
0.4194 ** |
0.2686 ** |
0.4629 ** | |
(Xpub - Xpri)β |
(136.0 %) |
(196.0 %) |
(65.0 %) |
(112.0 %) |
-1.033 ** |
-0.2501 | |||
Xpri ( β - βpr ) |
- |
(-482.0 %) |
- |
(-60.0 %) |
Xpub (β pub - β*) |
-0.9103 ** (-424.0 %) |
- |
-0.0559 (-13.0 %) |
- |
Selection (due to differences |
0.8332 ** |
0.2025 | ||
in the selection terms) |
(388.0 %) |
(48.0 %) | ||
Selection choice |
0.7740 ** |
0.2466 ** (BC) | ||
Participation |
0.0599 |
-0.0441 | ||
Selectivity corrected wage gap |
-0.6189 ** (BC) |
0.2127 |
Note: Cross-section weights applied. *,**, and *** denote significance at 10%, 5% and 1% respectively. Standard errors in parentheses, where OLS standard
errors are robust and the s.e. for the remaining models are bootstrapped. (N) refers to normal, (P) to percentile, and (BC) to bias corrected confidence
intervals (1000 replications).
Public-PRIVATE Pay Differentials 315
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