wages, which may be related to the effect of loosing industry-specific human capital.
With respect to job mobility (mobemp), it seems that there are some small gains (around
2.3%) from changing employment.
Finally, the effect of spatial mobility on wages seems to be positive and higher distances
have higher effects on wages (see variables mob1, mob2 and mob3).
The estimation considering the hourly wage as the dependent variable yielded very
similar results, reported in Table 15.
Table 15
Estimation Results for Hourly Wage Model
|
Source | I |
SS df |
MS |
Number of obs = 1236803 |
|
Model | Residual | I -------------+- |
271666.235 61 155853.9831236741 |
4453.54484 .126019904 | |
|
Total | |
427520.2181236802 |
.345665853 |
|
lsalh98 |
| Coef. |
Std. Err. |
t |
-P->-|--t|--- |
[95% Conf. |
Interval] |
|
------------------------- | ||||||
|
sexo |
| -.2039149 |
.000709 |
-287.61 |
0.000 |
-.2053045 |
-.2025253 |
|
mob1 |
| .0197531 |
.0015743 |
12.55 |
0.000 |
.0166675 |
.0228386 |
|
mob2 |
| .069235 |
.0052623 |
13.16 |
0.000 |
.0589211 |
.0795488 |
|
mob3 |
| .0910055 |
.0034892 |
26.08 |
0.000 |
.0841667 |
.0978442 |
|
mobsec |
| -.0240299 |
.0017283 |
-13.90 |
0.000 |
-.0274174 |
-.0206425 |
|
mobemp |
| .0256757 |
.001595 |
16.10 |
0.000 |
.0225495 |
.028802 |
|
saimor |
| -.0162422 |
.001678 |
-9.68 |
0.000 |
-.019531 |
-.0129534 |
|
entnov |
| .0567738 |
.0017012 |
33.37 |
0.000 |
.0534395 |
.0601082 |
|
antig98 |
| .0103981 |
.0001154 |
90.13 |
0.000 |
.010172 |
.0106242 |
|
qsup98 |
| .7898299 |
.0023859 |
331.05 |
0.000 |
.7851537 |
.7945061 |
|
qmed98 |
| .5419032 |
.0019088 |
283.90 |
0.000 |
.538162 |
.5456444 |
|
pqua98 |
| .2201656 |
.0015435 |
142.64 |
0.000 |
.2171405 |
.2231907 |
|
pesp98 |
| .0890699 |
.0016698 |
53.34 |
0.000 |
.0857972 |
.0923426 |
|
pnqua98 |
| .0020034 |
.0018288 |
1.10 |
0.273 |
-.001581 |
.0055877 |
|
school98 |
| .0125375 |
.0004065 |
30.84 |
0.000 |
.0117409 |
.0133342 |
|
pexp98 |
| .0047903 |
.0000363 |
131.93 |
0.000 |
.0047192 |
.0048615 |
|
small98 |
| .1448104 |
.0009113 |
158.91 |
0.000 |
.1430244 |
.1465965 |
|
medium98 |
| .2419112 |
.0009855 |
245.46 |
0.000 |
.2399796 |
.2438429 |
|
big98 |
| .3024705 |
.0011592 |
260.93 |
0.000 |
.3001986 |
.3047425 |
|
ant2 |
| -.0001374 |
3.45e-06 |
-39.85 |
0.000 |
-.0001441 |
-.0001306 |
|
school2 |
| .001967 |
.0000228 |
86.35 |
0.000 |
.0019224 |
.0020116 |
|
_cons |
| 5.985716 |
151.7531 |
0.04 |
0.969 |
-291.4452 |
303.4167 |
Note: 28 regional dummies and 12 industry dummies were included.
4. CONCLUSION
The main goal of this paper was to test whether a spatial relocation in addition to a job
change induces additional wage gains.
Determinants of job mobility and spatial mobility from labour economics and regional
economics were considered in the analysis. The empirical analysis for Portugal
confirmed results from theoretical models. Namely, younger, male, above average
15
More intriguing information
1. The demand for urban transport: An application of discrete choice model for Cadiz2. Target Acquisition in Multiscale Electronic Worlds
3. Urban Green Space Policies: Performance and Success Conditions in European Cities
4. The name is absent
5. The name is absent
6. Natural hazard mitigation in Southern California
7. Distribution of aggregate income in Portugal from 1995 to 2000 within a SAM (Social Accounting Matrix) framework. Modeling the household sector
8. Gender stereotyping and wage discrimination among Italian graduates
9. The name is absent
10. Skill and work experience in the European knowledge economy