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The Role of Source- and Host-Country Characteristics in ... - CReAM

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Table 4: Models 2 & 3 – Controll<strong>in</strong>g for Partner <strong>Characteristics</strong><br />

Model 2 Model 3<br />

1 st -Generation 2 nd -Generation 1 st -Generation 2 nd -Generation<br />

Immigrants Immigrants Immigrants Immigrants<br />

Partner characteristics<br />

Work<strong>in</strong>g hours −0.000 0.002 ∗∗ −0.000 0.002 †<br />

(0.001) (0.001) (0.000) (0.000)<br />

Education (Ref.: Secd. education)<br />

Primary eduction −0.006 0.011 0.009 0.005<br />

(0.039) (0.048) (0.027) (0.022)<br />

Tertiary education 0.021 −0.003 0.022 −0.000<br />

(0.031) (0.026) (0.021) (0.021)<br />

Other education −0.026 −0.069 0.017 0.109 ∗∗∗<br />

(0.107) (0.130) (0.055) (0.042)<br />

FLFP rate 0.003 ∗∗ 0.003 0.007 † 0.008 †<br />

(0.001) (0.002) (0.001) (0.002)<br />

Individual controls yes yes yes yes<br />

<strong>Host</strong>-country FE yes yes no no<br />

<strong>Source</strong>-country FE no no yes yes<br />

Relationship variables yes yes yes yes<br />

Year dummies yes yes yes yes<br />

Log likelihood -1609.1 -1010.0 -1549.9 -998.5<br />

Pseudo R 2 0.108 0.091 0.141 0.100<br />

Observations 3683 2209 3683 2207<br />

Notes: – Marg<strong>in</strong>al effects with clustered st<strong>and</strong>ard errors <strong>in</strong> parentheses. – † p < 0.001; ∗∗∗ p < 0.01;<br />

∗∗ p < 0.05; ∗ p < 0.1. – <strong>Host</strong>-country population weights are applied. – Model 2 further <strong>in</strong>cludes the<br />

same source-country characteristics as shown <strong>in</strong> Table 2. – Model 3 further <strong>in</strong>cludes the same host-country<br />

characteristics as shown <strong>in</strong> Table 3.<br />

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