Whenever i means j (hukou homogamy), each other x
journal F cijkl = Equation dos + ? x ijkl + ? y ijkl + ? c ( ? x ijkl ) + ? c ( ? y ijkl )
ijkl and yijkl equal 0. xijkl indicates local-spouse-hypergamy (migrant spouse is more educated than local spouse), and yijkl indicates local-spouse-hypogamy (migrant spouse is less educated than local spouse). Thus, when i equals 0 and j equals 1 (migrant husband and local wife), xijkl equals 1 if k > l and 0 otherwise, yijkl equals 1 if k < l>
2nd, i level ining the way the likelihood of hukou intermarriage transform having for every single partner’s studies (Gullickson and you can Torche, 2014), therefore we next look at type during the sector replace between the two urban centers.
diary F cijkl = Formula 2 + ? p = step 1 2 ? p you pij + ? q = 1 dos ? q w qij + ? c ? p = 1 2 ? p u pij + ? c ? q = 1 dos ? q w qij
When i equals j (hukou homogamy), both upij and wqij equal 0. upij measures the education effects for migrant spouses to form hukou intermarriages, and wqij measures the education effects for local spouses to form hukou intermarriages. When i equals 0 and j equals 1 (migrant husband and local wife), upij equals 1 if k >p and wqij equals 1 if l > q; when i equals 1 and j equals 0 (local husband and migrant wife), upij equals 1 if l > p and wqij equals 1 if k > q.
Thus, this model estimates separately how migrants’ and locals’ likelihoods of marrying across hukou boundaries change as their educations change. Specifically, ?p and ?q capture how the log-odds of hukou intermarriage change for migrants and locals, respectively, when moving up one level of education from either p or q (e.g., from less than high school to high school). Positive values of ? indicate that the odds of hukou intermarriage increase as migrant spouses’ educations increase, and negative values indicate that the odds of hukou intermarriage decrease as migrant spouses’ educations increase. ? provides the same information for local spouses. We expect ? to be positive and S to be negative, and we expect n and ? (more…)
