To look at adaptation for the dyadic replace because of the city, inside Design step 3 i incorporate telecommunications terms ranging from local-spouse-hypergamy and you may regional-spouse-hypogamy, correspondingly, and also the town signal

In Hypothesis 1, we anticipate that hukou locality intermarriage is lower in Shanghai than in Shenzhen, because hukou policies are more stringent in Shanghai. To test this hypothesis, in model 1, we examine variations in hukou locality assortative mating by city. Recall that we code the cells along the main diagonal as 1 and those off the diagonal as 0 in the cross-tabulation between hukou locality of the husband and wife. Thus, hukou intermarriage in which spouses marry across hukou locality boundaries serves as the reference category and contrast with hukou homogamy. Consistent with Hypothesis 1, hukou locality homogamy is more pronounced in Shanghai than in Shenzhen: the odds of hukou locality homogamy are 5.37 and 3.97 times as high as the odds of hukou intermarriage in Shanghai and Shenzhen, respectively (Shanghai: ? = 1.68, exp(?) = 5.37, p < 0.001;>

Desk dos.

In Model 2, we examine dyadic exchange, which measures how the joint education characteristics of two spouses affect the likelihood of hukou locality inter). We hypothesize that local spouses are likely to use their advantageous hukou locality statuses in exchange for their migrant spouses’ good socioeconomic statuses, as captured by education attainment here. We expect local spouses to be more likely to y) within hukou intery. We also expect local spouses to be less likely to y) within hukou locality intery. Consistent with our expectations, we find an incentive to local-spouse-hypergamy and suggestive evidence of a disincentive to local-spouse-hypogamy. Specifically, locals in Shanghai and Shenzhen are 70% more likely to marry a more educated spouse when they marry a migrant spouse than when they marry a local spouse; in other words, the tendency for locals to marry up in education is stronger in hukou locality intery (? = 0.53, exp(? ) = 1.70, p < 0.01).> 0.05) pistГ¤ydy nГ¤iden kavereiden luona. (more…)