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Moving around separation: who moves and at what distance

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Moving around separation: who moves and at what distance Clara H. Mulder and Gunnar Malmberg University of Amsterdam; Ume University – PowerPoint PPT presentation

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Title: Moving around separation: who moves and at what distance


1
Moving around separation who moves and at what
distance
  • Clara H. Mulder and Gunnar MalmbergUniversity of
    Amsterdam Umeå University

2
Research aim
  • Add to the explanation of moving around
    separation and divorce. Issue who moves, how far
    from the joint home
  • Previous research on who moves Not that much.
    Some studies for Germany, Denmark, U.K. previous
    paper by Mulder Wagner (Journal of Marriage and
    Family, 2010. Presented in Antwerp last year)
  • Previous research on moving distance Feijten
    Van Ham, 2007, all divorced people (not
    specifically moves at the occasion of the
    separation)

3
Theory who moves
  • See Mulder Wagner (2010)
  • If costs of moving C(MO) are lower than costs of
    staying C(S) for any separated person, this
    person moves
  • If C(MO) gt C(S) for both ex-partners partner
    with lower C(MO) moves (rule of fairness)
  • If any ex-partner has insufficient resources to
    pay for joint home alone, this ex-partner moves
  • So probability of moving is decreased by higher
    C(MO) and by resources and increased by idem of
    other ex-partner

4
Theory what distance
  • Distance decreased by local ties (note these
    ties may also be seen as a cost of moving and
    decrease its likelihood)
  • Distance increased by (the likelihood of)
    additional reasons for moving

5
Hypotheses local ties
  • Hypotheses for individual - on moving and
    distance. Partner on moving
  • Children (particularly young or school
    age)gender difference expected
  • Parents, siblings close (lt 2 km)
  • Working from home
  • Living in county of birth

6
Hypotheses resources
  • Hypothesis for individual - on moving. Partner
    on moving (relative resources).
  • Income
  • Level of education
  • Age (assets, career advantage)
  • Note these variables also indicate reasons for
    moving

7
Hypotheses additional reasons
  • Hypothesis on distance, - on moving. No
    hypotheses for partner on distance (except)
  • Dispersal of jobs level of education
  • Income, idem, BUT greater satisfaction with job
    given level of education
  • Unemployment
  • Enrolment in education
  • Fewer reasons with increasing age
  • New partner (and partner has new partner)
  • Fewer reasons in urban areas, large cities
  • Homeowner better housing but higher cost.
    Housing more dispersed

8
Additional reasons / controls
  • Migrant statusDifferences in social
    networksMoving back to home country not observed
  • WomenMore likely to initiate separationMore
    likely child custodyPossibly lower investments
    when working from homeLess favorable position
    when homeowner probably less frequently single
    owner

9
Data
  • ASTRID data register data for Sweden (entire
    population)
  • Couples in 2004 living in the same 100m square
    (married cohabiters with children), separated
    and no longer living in the same 100m square in
    2005
  • N 32,867, n moved 20427
  • Random designation of one person in couple as the
    separated person, the other as the partner

10
Methods
  • Logistic regression of whether separated person
    moved around separation
  • OLS regression of log-distance moved for movers
  • p lt 0.001, p lt 0.01, p lt 0.05

11
Results children

12
Results family, county of birth

13
Results workplace

14
Results income, education, age

15
Results more reasons for moving

16
Results urbanization, homeowner

17
Conclusions (1)
  • Ties to a location decrease likelihood of moving
    and distance moved
  • Some evidence of importance of (relative)
    resources to allow staying (income, age)
  • Additional reasons working far away, new
    partner, urbanization, homeowner
  • But not education, income

18
Conclusions (2)
  • Gender differences, even in Sweden
  • Moving for separation is special- importance of
    partner variables- no impact of level of
    education- strikingly great impact of local ties
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