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

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imputed histories

simple Ordifferentiated degree classification

without

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simple           simple       differentiated differentiated

information on

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date highest

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first date or last date highest degree at interview was attained

degree at

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interview was

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first                last                first                last

attained

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est. std.err.

est. std.err. est. std.err. est. std.err. est. std.err.

est. std. err.

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age (absolute risks)

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-∣5--∣9                          o.oo36 o.ooo7θ

0.0037 0.00070 0.0040 0.00076 0.0038 0.00072 0.0040 0.00076

0.0038 0.00080

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20-24                    ^{0 0061 0}°∞5i

0.0059 0.00049 0.0066 0.00057 0.0060 0.00051 0.0066 0.00056

0.0053 0.00044

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25-29                        0.0125 0.00091

0.0120 0.00088 0.0130 0.00096 0.0123 0.00090 0.0130 0.00095

0.0115 0.00086

30-34                      0.0099 0.00123

0.0097 0.00120 0.0100 0.00124 0.0099 0.00123 0.0100 0.00124

0.0095 0.00118

education (relative risks)

no degree              °⁵⁵   °²⁵

0.65    0.29    0.59    0.27    0.63    0.28    0.59    0.27

0.67    0.30

school degrees

lower sec. degree      ^{152   0 34}

1.98     0.42     1.80     0.39     1.92     0.41     1.81     0.39

2.02    0.43

adv. lower sec. degree ^{1 53    0 48}

1.67    0.60    1.51     0.54    1.62    0.58    1.52    0.55

1.69     0.61

upper sec. degree      °⁶³   °²⁸

0.73    0.37    0.67    0.34    0.71     0.36    0.68    0.34

0.84    0.38

post-sec. degrees

vocational degree      ¹

1111

1

univ.∕coll degree        ^{0 68    013}

0.65    0.12    0.65    0.12    0.64    0.12    0.64    0.12

0.63     0.11

enrolled in education

in school                ^{0 09}    °⁰⁴

0.08    0.04    0.07    0.04    0.08    0.04    0.07    0.04

0.06    0.04

in vocational training ^{0 20}    °⁰⁵

0.18    0.05    0.21     0.04    0.18    0.05    0.21     0.04

0.19    0.06

in university              ^{0 14    0 05}

0.17    0.06    0.20    0.06    0.22    0.07    0.20    0.06

0.12    0.06

missing               ^{058   026}

0.17    0.17    0.15    0.15    0.16    0.16    0.15    0.15

0.17    0.17