Table 17.

Multinomial logit regressions – short- vs long-distance moves – full sample – Model 1

Variable0 = Stay1 = Move within
municipalities
2 = Move between
municipalities
Construction year0.0001***−0.0002***0.00005***
Post 2005−0.0186***0.0178***0.00082
Relative income0.0604***−0.0309***−0.02954***
HH-size0.0163***−0.0087***−0.00762***
Income−0.0000001***0.0000000**0.0000001***
Age0.0033***−0.0021***−0.00111***
Private rental−0.0191***0.0137***0.00549***
Space0.0001***−0.0001***0.00001
First_kid−0.0717***0.0535***0.01820***
Another_kid−0.0493***0.0307***0.01857***
EMP−0.0102***0.0080***0.00218***
UNI−0.0231***0.0083***0.01482***
Foreign−0.0139***0.0105***0.00336***
Duration0.0064***−0.0037***−0.00266***
Women−0.0037***0.0036***0.00006
Deso Share Rentals0.0135***−0.0001−0.01343***
X−0.0000000087−0.00000000150.0000000102**
Y0.000000019*0.000000006−0.000000025***
Observations1,647,418
Pseudo R20.0860
Pseudo-likelihood−773982.33

Note:

***

= p-value < 1%,

**

= p-value < 5%

*

= p-value < 10%. For Tables 17–19. The dependent variable is whether the household stayed (=0). moved within a municipality (=1) or moved to another municipality (=2). 2017. The regressions also include fixed geographical effects for NUTS regions and rural/small/medium/metropolitan municipalities. These are not reported. Standard errors are clustered at DESO areas and thus allow dependence between observations within these areas. The marginal effects are obtained at the means of the continuous variables and at the modes of the categorical ones. The marginal effect are to be interpreted as the change of the probability to move due to a unit change of the independent variable in questions

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