Modelling Transport in an Interregional General Equilibrium Model with Externalities



Table A2

Wage differentials and commuting distances. Estimated parameters and standard
errors
.

Dependent variable:
ln(average wage)

FGLS

WLS

OLS

Intercept

11.99731 (0.00198)

11.96282 (0.00120)

11.95378 (0.00310)

Gender

0.20739 (0.00058077)

0.20313 (0.00032394)

0.18550 (0.00089959)

Year=1999____________________

0.04847 (0.00088965)

0.6484 (0.00050635)

0.04807 (0.00137)________

Year=1998_____________________

0.03423 (0.00086104)

0.04703 (0.00048466 )

0.03470 (0.00133)________

Year=1997____________________

0.01399 (0.00081145)

0.01898 (0.00045713)

0.01323 (0.00125)________

Long further and higher education.

0.46169 (0.00109)________

0.49915 (0.00071247)

0.45697 (0.00158)________

Middle-range further and higher
education.

0.29248 (0.00090276)

0.29033 (0.00055063)

0.30186 (0.00138)

Short further and higher education.

0.17716 (0.00101)________

0.17132 (0.00068469)

0.19049 (0.00150)________

Skilled worker

0.10374 (0.00070002)

0.09785 (0.00036837)

0.10002 (0.00111)________

Age 45-59______________________

0.30252 (0.00074048)

0.27874 (0.00042973)

0.31246 (0.00112)________

Age 30-44______________________

0.24254 (0.00071004)

0.22502 (0.00041411)

0.24134 (0.00106)________

ln(unemployment)

-0.07263(0.00082992)

-0.03924(0.00047434)

-0.06847 (0.00130)_______

ln(distance)

0.03071 (0.00022535)

0.03067 (0.00016048)

0.04145 (0.00036696)

* Adjusted R2____________________

-

-

0.2626

Note: All variables are significant at 10% level. If all dummy variables are zero the representation is: Year=1996, basic
education, and age 15-29 years old.

35



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