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Schooling, Family Background, and Adoption: Is it Nature or is ... - Etla

Schooling, Family Background, and Adoption: Is it Nature or is ... - Etla

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All tests demonstrate that permanent family income including permanent<br />

family fact<strong>or</strong>s like parental education, <strong>and</strong> parental IQ are dec<strong>is</strong>ive fact<strong>or</strong>s<br />

in explaining the relation between family income <strong>and</strong> the child’s years spent<br />

in school. Only w<strong>it</strong>h the third method we are able to show that (trans<strong>it</strong><strong>or</strong>y)<br />

family income <strong>it</strong>self matters too. Th<strong>is</strong> observation <strong>is</strong> in line w<strong>it</strong>h<br />

what previous researchers have found. That <strong>is</strong>, direct family income effects<br />

on the child’s schooling attainment run f<strong>or</strong>emost through the permanent<br />

component of family income. And if sh<strong>or</strong>t run variation in family income<br />

(<strong>or</strong> trans<strong>it</strong><strong>or</strong>y family income) exerts a pos<strong>it</strong>ive influence <strong>it</strong>s effect <strong>is</strong> rather<br />

lim<strong>it</strong>ed (see Shea (2000), Cameron <strong>and</strong> Taber (2000), Chevalier <strong>and</strong> Lanot<br />

(1999), Cameron <strong>and</strong> Heckman (1998), Mayer (1997)).<br />

5.2 <strong>Is</strong> <strong>it</strong> nature <strong>or</strong> nurture that matters?<br />

So far we have been rather silent when <strong>it</strong> comes to the effects of abil<strong>it</strong>y.<br />

Fully in line w<strong>it</strong>h other l<strong>it</strong>erature, we find that parental IQ predicts school<br />

perf<strong>or</strong>mance of children. Th<strong>is</strong> implies that the influence of IQ transcends<br />

over generations. An intriguing question deals w<strong>it</strong>h the problem of nature<br />

<strong>and</strong> nurture. <strong>Is</strong> <strong>it</strong> inher<strong>it</strong>ance <strong>or</strong> <strong>is</strong> <strong>it</strong> the environment which <strong>is</strong> the primary<br />

fact<strong>or</strong> in explaining schooling differences of children?<br />

In th<strong>is</strong> Section we will open the d<strong>is</strong>cussion on the her<strong>it</strong>abil<strong>it</strong>y of IQ <strong>and</strong><br />

use inf<strong>or</strong>mation on adopted children. We begin w<strong>it</strong>h estimating equation<br />

(2.6) adding an adoption dummy f<strong>or</strong> adopted children to see how adopted<br />

children perf<strong>or</strong>m in school. In Table 5 we find that adopted children do<br />

w<strong>or</strong>se w<strong>it</strong>h respect to the total years of schooling. We observe th<strong>is</strong> f<strong>or</strong><br />

family income measured in 1975 <strong>and</strong> 1992.<br />

To <strong>is</strong>olate that part of IQ that stems from genetic transm<strong>is</strong>sion we need<br />

to include the IQ covariate f<strong>or</strong> adopted children. Th<strong>is</strong> <strong>is</strong> what we do in the<br />

second column of Table 5 where we estimate equation (2.8). IQ c<strong>or</strong>rections<br />

f<strong>or</strong> adopted children turn out to be negative which c<strong>or</strong>respond w<strong>it</strong>h the idea<br />

that intelligence measured as childhood IQ <strong>is</strong> to a certain extent inher<strong>it</strong>ed.<br />

Note however that these effects are significantly negative in the margin.<br />

Only if we use family income measured in 1975 interacted IQ effects are<br />

significant at a 10 percent level. Th<strong>is</strong> turns out to be a cell size effect.<br />

In the present sample of 6460 children only 114 are adopted. Later on we<br />

will use a much larger sample <strong>and</strong> find all relevant adoption effects to be<br />

significantly different from zero.<br />

Our model also provides estimates on how much can be attributed to<br />

environment <strong>and</strong> how much to genes. The parameter estimates attached to<br />

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