Table 3.
Fit statistics for log-linear models of race-generation and educational assortative marriage
| Model | df | Deviance | BIC | |
|---|---|---|---|---|
| 1 | Marginals (HR + HE + WR + WE + P) + HR×HE + WR×WE | 112 | 29,597.95 | 28,362.06 |
| 2 | Model 1 + C | 109 | 21,397.36 | 20,194.57 |
| 3 | Model 2 + RHyper | 108 | 21,397.36 | 20,205.60 |
| 4 | Model 2 + EduCol | 108 | 1,362.63 | 170.87 |
| 5 | Model 4 + HR×P + WR×P | 102 | 1,175.88 | 50.33 |
| 6 | Model 5 + C×P | 99 | 1,164.61 | 72.17 |
| 7 | Model 5 + HE×P + WE×P | 100 | 328.55 | −774.93 |
| 8 | Model 7 + EduCol×P | 99 | 325.10 | −767.34 |
| 9 | Model 7 + C×EduCol | 97 | 250.70 | −819.68 |
| 10 | Model 9 + C×EduCol×P | 90 | 225.60 | −767.53 |
Notes: N = 61,993; cells = 128. df = degrees of freedom.
HR = husbands’ race/generation; HE = husbands’ education; WR = wives’ race/generation; WE = wives’ education; C = race/generation crossings parameters; RHyper = race/generation hypergamy (marriages in which Asian husbands are in later generations than their Asian wives or white husbands marry Asian wives = 1, otherwise = 0); EduCol = parameter indicating both spouses are college graduates (both spouses are college graduates = 1, otherwise = 0); P = time period (2005–2015 = 1; 1994–2004 = 0).