Wage mobility, Job mobility and Spatial mobility in the Portuguese economy



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
F( 61,1236741)=35340.01
Prob > F = 0.0000
R-squared = 0.6354
Adj R-squared = 0.6354
Root MSE = .35499

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



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