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. 2019 Apr 10;25(4):e2233. doi: 10.1002/psp.2233

Table 4.

Binomial logistic regression models for the propensity among migrants to mention specific motives

Employment Education Family Area Housing
Coef. SE OR Coef. SE OR Coef. SE OR Coef. SE OR Coef. SE OR
Intercept −0.20 0.55 −2.05 0.73 −1.37 0.72 −4.11 1.15 −4.17 0.79
Gender (ref: Female)
Male −0.03 0.15 0.97 0.41 0.21 1.51 −0.26 0.16 0.77 0.08 0.20 1.08 0.21 0.21 1.24
Age (ref: 16–24)
25–34 0.11 0.23 1.12 −0.96 0.30 0.38 0.50 0.28 1.65 0.15 0.37 1.16 0.21 0.34 1.24
35–49 −0.30 0.29 0.74 −0.80 0.35 0.45 0.61 0.31 1.85 0.54 0.40 1.71 0.37 0.41 1.44
50–64 −1.14 0.36 0.32 −1.99 0.75 0.14 1.20 0.33 3.32 0.92 0.41 2.51 1.02 0.47 2.78
65+ −3.24 1.21 0.04 −14.70 0.69 0.00 1.39 0.45 4.03 0.34 0.59 1.40 1.16 0.67 3.20
Marital status (ref: Married)
Cohabiting couple −0.75 0.29 0.47 0.12 0.46 1.13 0.29 0.30 1.34 0.45 0.32 1.57 0.84 0.38 2.31
Separated/divorced −0.54 0.37 0.58 −0.09 0.59 0.92 0.43 0.26 1.53 −0.22 0.31 0.81 −0.10 0.40 0.91
Single and never married −0.53 0.24 0.59 0.69 0.39 2.00 −0.24 0.27 0.78 −0.24 0.29 0.78 0.53 0.32 1.70
Widowed 0.06 1.01 1.06 −13.52 0.83 0.00 0.41 0.38 1.51 −0.93 0.51 0.40 −0.09 0.53 0.91
Lives with own child (ref: No)
Yes −0.35 0.23 0.71 0.62 0.36 1.86 0.53 0.24 1.70 0.22 0.29 1.25 0.88 0.33 2.41
Housing tenure (ref: Homeowner)
Private renting 0.52 0.18 1.68 −0.32 0.22 0.73 −0.27 0.19 0.77 −0.50 0.24 0.60 0.48 0.24 1.62
Social renting −0.19 0.35 0.83 −0.21 0.34 0.81 0.65 0.26 1.91 −0.63 0.41 0.53 −0.35 0.42 0.70
Educational attainment (ref: Low ‐ < = GCSE)
Middle—post‐secondary −0.20 0.23 0.82 1.12 0.28 3.06 −0.42 0.20 0.66 −0.29 0.25 0.75 0.57 0.28 1.77
High—≥BA degree 0.97 0.22 2.64 0.40 0.30 1.49 −0.89 0.20 0.41 −0.25 0.25 0.78 0.07 0.25 1.07
Employment status (ref: Employed inc. maternity leave)
Full‐time student −0.83 0.22 0.44 2.02 0.24 7.51 −0.58 0.27 0.56 −1.52 0.49 0.22 −1.34 0.39 0.26
Nonemployed −0.06 0.24 0.94 0.42 0.34 1.52 0.35 0.22 1.42 −0.46 0.31 0.63 0.18 0.31 1.20
Retired, long‐term sick/disabled −1.42 0.61 0.24 −14.39 0.44 0.00 0.23 0.32 1.25 0.47 0.36 1.59 0.63 0.51 1.88
Self‐employed 0.38 0.31 1.46 0.85 0.48 2.33 −0.02 0.31 0.98 0.10 0.37 1.10 0.14 0.43 1.15
White British (ref: No)
Yes 0.23 0.21 1.26 −0.35 0.27 0.70 −0.21 0.21 0.81 0.57 0.32 1.78 0.20 0.29 1.22
Long‐standing health issues (ref: No)
Yes −0.09 0.18 0.92 −0.39 0.26 0.68 0.11 0.17 1.12 −0.19 0.21 0.83 0.04 0.23 1.04
Migration direction (ref: Core to Core)
Core to noncore −0.99 0.45 0.37 −0.33 0.65 0.72 0.46 0.61 1.58 2.69 1.07 14.72 1.28 0.66 3.60
Noncore to core 0.05 0.45 1.05 −0.43 0.65 0.65 0.03 0.62 1.03 1.81 1.08 6.11 0.59 0.70 1.81
Migration between noncore districts −0.38 0.42 0.69 −0.39 0.62 0.68 0.58 0.59 1.79 1.98 1.04 7.24 0.29 0.65 1.34

Source: University of Essex. Institute for Social and Economic Research, NatCen Social Research, Kantar Public. (2018). Understanding Society: Waves 1–7, 2009–2016 and Harmonised BHPS: Waves 1–18, 1991–2009: Special Licence Access, Census 2001 Lower Layer Super Output Areas. [data collection]. 9th Edition. UK Data Service. SN: 6670, http://doi.org/10.5255/UKDA‐SN‐6670‐9. N.B. Model fit statistics (e.g., AIC or BIC) for logit regression under complex sampling are not yet available in the “survey” package. Sample includes only those who've moved ≥40 km with the selection of only one partner in cases of coresidential relationships. Estimates account for complex survey design and non‐response using the “survey” package in R (Lumley, 2018). Bold values indicate statistical significance at >95% level.