Table 4.

Effects of Mobility in Husband’s and Wife’s Occupations on Migration in the Past Five Years

Variables	Power Couple	Husband Only College	Wife Only College	Neither College
Husband’s Occupation-Education Migration Rate	0.678*** (0.041)	0.693*** (0.040)	0.709*** (0.051)	0.655*** (0.030)
Wife’s Occupation-Education Migration Rate	0.376*** (0.040)	0.462*** (0.054)	0.368*** (0.045)	0.427*** (0.034)
Husband’s Occupation-Education Average Wage	0.018* (0.009)	0.028*** (0.008)	0.011 (0.007)	0.022*** (0.004)
Wife’s Occupation-Education Average Wage	−0.028*** (0.006)	−0.050*** (0.005)	0.013* (0.005)	−0.010*** (0.003)
N	138,738	73,005	69,050	343,628

Notes: The sample is the same as described in Table 1 with the exclusion of couples who (1) did not live in the same PUMA in 1995 or (2) lived in an unidentified MSA area in 1995 or 2000. The table reports average marginal effects from the logit model described in Eq. (1), in which the dependent variable is an indicator for migration in the past five years. The measurement of migration, explanatory variables, and couple groupings are described in notes of Tables 1 and 3. The model includes controls for the husband’s age and age squared, the wife’s age and age squared, presence of children younger than 18, presence of children younger than 6, indicators for the husband’s and the wife’s education level (less than high school, some high school, high school diploma, some college, college degree, master’s degree, professional degree, or doctoral degree), interactions of the education indicators with age, and state fixed-effects and state-urban fixed-effects. Standard errors for average marginal effects (shown in parentheses) are calculated using the delta method and with multiway clustering on both the husband’s and the wife’s occupation-education groupings, using method of Cameron, Gelbach, and Miller (2007).

^*p < .05;

^**p < .01;

^***p < .001