Table 3. Pay gap between public and private sector: OLS results
Males |
β* = β pri |
Females |
β* = βpub | ||
β* = βpri |
β* = βpub | ||||
Predicted log wages |
ln Wpub = 2.2380 |
ln Wpri = 2.0239 |
ln Wpub = 2.1496 |
ln Wprri = 1.7358 | |
ln w pub - ln wpri |
0.2132 ** |
0.4140 ** | |||
(Xpub - Xpr )β |
0.2270 ** |
0.2215 ** |
0.1892 ** |
0.3802 ** | |
(106.0 %) |
(104.0 %) |
(46.0 %) |
(92.0 %) | ||
Xpr ( β* - βpr ) |
- |
-0.0082 |
- |
0.0338 | |
(-4.0%) |
(8.0 %) | ||||
χPub (βPu - β*) |
-0.0138 |
- |
0.2248 ** | ||
(-6.0 %) |
(54.0 %) |
- |
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 313
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