Do imputed education histories provide satisfactory results in fertility analysis in the Western German context?



146                                                             http://www.demographic-research.org


CO CO <   --------------------------------------------------------------------------------------------------------------------------------------

§ g I                                original                    imputed histories

^O ci to                                                                                   ___________________________________________________________________________________________________________

Sq∣                                    histories      Simpleordifferentiateddegreeclassification        without

о £ -ʊ                                                       --------------------------------------------------------- information

φ _co о                                                          simple       simple differentiated differentiated on date

z5 о ô                                                                 ____________________________________________________________________ u ∙ u

о §- ʃʌ                                                         first date or last date highest degree at interview was      highest

≡ я f∣                                                                               attained                           degree at

< Eo о                                                  ----------------------------------------------------Interviewwas

I £                                                                    first          last           first            last         attained

Crt        -ʊ

§? g age (absolute risks)

3 crι

I p     15-19                  0.0036    0.0037   0.0040   0.0038    0.0040    0.0038

f     20-24                  0.0061    0.0059   0.0066   0.0060    0.0066    0.0053

°     25-29                  0.0125    0.0120   0.0130   0.0123    0.0130    0.0115

30-34                  0.0099    0.0097   0.0100   0.0099    0.0100    0.0095

education (relative risks)

no degree             0.55       0.65      0.59      0.63       0.59       0.67

school degrees

lower sec. degree       1.52 *      1.98 *** 1.80 *** 1.92 “*    1.81 “*    2.02 ***

adv. lower sec. degree 1.53       1.67      1.51       1.62       1.52       1.69

upper sec. degree     0.63       0.73      0.67      0.71       0.68       0.84

post-sec. degrees

vocational degree 111111

univ.∕coll degree        0.68 **    0.65 **   0.65 **   0.64 “    0.64 “    0.63 ***

enrolled in education

in school                0.09 ***    0.08 *** 0.07 *** 0.08 ***    0.07 ***    0.06 ***

Invocationaltraining 0.20***   0.18*** 0.21 *** 0.18***   0.21 ***   0.19***

in university             0.14 ***    0.17 *** 0.20 *** 0.22 ***    0.20 ***    0.12 ***

missing                0.58       0.17 *    0.15 *    0.16 *     0.15 *     0.17 *

Table 2: Effect of education on risk of first birth. Results using original
education histories compared to results using education histories
imputed by different methods




More intriguing information

1. Explaining Growth in Dutch Agriculture: Prices, Public R&D, and Technological Change
2. MANAGEMENT PRACTICES ON VIRGINIA DAIRY FARMS
3. DEMAND FOR MEAT AND FISH PRODUCTS IN KOREA
4. Education and Development: The Issues and the Evidence
5. THE USE OF EXTRANEOUS INFORMATION IN THE DEVELOPMENT OF A POLICY SIMULATION MODEL
6. Do the Largest Firms Grow the Fastest? The Case of U.S. Dairies
7. ENVIRONMENTAL POLICY: THE LEGISLATIVE AND REGULATORY AGENDA
8. The name is absent
9. Modelling Transport in an Interregional General Equilibrium Model with Externalities
10. Der Einfluß der Direktdemokratie auf die Sozialpolitik