26
Michael Fertig and Christoph M. Schmidt
Table 3
Probability to be Employed
|
Probit Estimation Results - Dependent Variable: Employed (yes/no) | ||||
|
Variable |
Complete sample |
Restricted sample-Men | ||
|
marginal effect |
t-value |
marginal effect |
t-value | |
|
Individual characteristics | ||||
|
Age (at 24)1 |
0.1175 |
39.29 |
0.1391 |
30.99 |
|
Age (at 40)1 |
0.0105 |
9.63 |
0.0122 |
6.99 |
|
Age (at 60)1 |
-0.1468 |
-30.85 |
-0.1605 |
-24.41 |
|
Female |
-0.2690 |
-80.80 |
- |
- |
|
Medium education |
-0.1294 |
-24.04 |
-0.0702 |
-10.47 |
|
Low Education |
-0.1782 |
-35.45 |
-0.0509 |
-8.14 |
|
Disability |
-0.1721 |
-38.21 |
-0.2287 |
-39.19 |
|
Variables measuring demographic change | ||||
|
Relative own cohort size |
0.0410 |
5.80 |
0.0382 |
3.55 |
|
Share of highly educated |
0.0022 |
8.16 |
0.1925 |
6.08 |
|
Country indicators (base category is UK) | ||||
|
Germany |
0.0923 |
6.77 |
0.0739 |
4.79 |
|
Denmark |
0.1678 |
12.42 |
0.0946 |
6.06 |
|
The Netherlands |
0.0919 |
5.71 |
0.0885 |
5.07 |
|
Belgium |
-0.0207 |
-1.59 |
-0.0198 |
-1.22 |
|
France |
0.0071 |
0.55 |
-0.0244 |
-1.57 |
|
Ireland |
0.0543 |
3.62 |
0.0818 |
5.05 |
|
Italy |
-0.0436 |
-2.58 |
-0.0214 |
-1.07 |
|
Greece |
0.0022 |
0.14 |
0.0689 |
4.08 |
|
Spain |
-0.0730 |
-5.26 |
-0.0090 |
-0.55 |
|
Portugal |
0.1639 |
10.86 |
0.1215 |
7.45 |
|
Austria |
0.1187 |
7.18 |
0.1033 |
5.89 |
|
Finland |
0.0960 |
7.91 |
0.0408 |
2.81 |
|
Sweden |
0.1415 |
11.49 |
0.0714 |
4.98 |
Diagnostics:
|
Pseudo R-squared 0.21 0.26 Number of observations 98,568 48,172 | |
|
1Specification contains the variable and its square. - For a description of the variables see |
RWI |
|
Table 4 (Appendix). |
ESSEN |
For each of our explanatory variables we report marginal effects and their as-
sociated t-values. The marginal effects can be interpreted straightforwardly as
the percentage-point change in the probability to be regularly employed in re-
sponse to a unit-change in the respective explanatory variable, holding all
other explanatory variables, including indicator variables, at their mean val-
ues4. The associated t-values provide an assessment of the statistical reliability
4 For the continuous regressors, such as cohort size or age, a unit-change is a percentage point or a
year, respectively. For indicator variables, the corresponding unit-change is the hypothetical
switch from zero to one.
More intriguing information
1. BODY LANGUAGE IS OF PARTICULAR IMPORTANCE IN LARGE GROUPS2. The name is absent
3. Investment and Interest Rate Policy in the Open Economy
4. Spectral calibration of exponential Lévy Models [1]
5. The name is absent
6. Synchronisation and Differentiation: Two Stages of Coordinative Structure
7. Benefits of travel time savings for freight transportation : beyond the costs
8. Review of “From Political Economy to Economics: Method, the Social and Historical Evolution of Economic Theory”
9. Migration and Technological Change in Rural Households: Complements or Substitutes?
10. Public-Private Partnerships in Urban Development in the United States