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Social Interaction

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Title: Social Interaction


1
Social Interaction
  • An individuals preferences, and therefore
    behaviour, may depend on what others in society
    are perceived to be doing.
  • Learning (e.g. new technology and uncertainty).
  • Social influence a persons preferences may be
    altered by those with whom the person interacts.

2
Social influence
  • Utility from taking particular action (e.g. have
    a birth outside marriage)
  • V1?1 ?1Pe(x) -? z??1 ?1
  • Pe(x) expected proportion of women in a womans
    reference group x (e.g. nationality, religious
    or ethnic group) who take the action
  • Utility from not taking the action
  • V0?0 ?0Pe(x) -? z??0 ?0

3
Social influence/social stigma
  • Social, or normative, influences on utility are
    indicated by the terms ?1(Pe(x) -?) and ?0(Pe(x)
    -?), with ?0?0lt?1.
  • ? is a threshold parameter, such that when
    Pe(x)lt?, the expected proportion taking the
    action in a womans reference group exerts
  • a negative influence on taking the action.
  • a positive influence on not taking the action.
  • the opposite is the case when Pe(x)gt?.
  • A value of Pe(x) below ? could reflect social
    stigma .

4
Other definitions
  • zobservable individual attributes (e.g.
    educational attainment, wages, non-labour income)
    affecting utility in the two states.
  • ?1 and ?0 are unobserved woman-specific variables
    affecting utility in the two states.
  • ?j may reflect policy variables (e.g. state
    benefits to single mothers (in which case ?1gt
    ?0), cost and availability of abortion if action
    is non-marital birth).

5
Decision
  • Take action if and only if V1gtV0 that is, when
    ??1-?0gt-??Pe(x) -? z??,
  • where ??1-?0, ??1-?0 and ??1-?0.
  • Social influence exists when ?gt0
  • taste variable ? is assumed to have some
    random, symmetric (about the origin) distribution
    in the reference group population (e.g.
    logistic).

6
Probability of taking action
  • the probability that a woman with reference group
    x takes the action is given by
  • H? ?(Pe(x) -?) z??
  • where H? is a continuous, strictly increasing
    distribution function.

7
Proportion in reference group taking the action
  • The actual proportion in the reference group who
    take the action is
  • P(x) ?H? ?(Pe(x) -?) z??dP(zx),
  • where P(zx) is the distribution of z in the
    reference group defined by x.

8
Social equilibrium
  • A social equilibrium occurs when peoples
    expectations are consistent with the average
    proportion in the reference group who take the
    action.
  • In equilibrium, peoples expectations are
    consistent with the mathematical expectation
    P(x).
  • That is, Pe(x)P(x).

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11
Unique equilibrium or multiple equilibria?
  • E.g. H? is the logistic distribution function
    and ?z?? is distributed symmetrically about the
    origin.
  • If ?lt4, there is a unique social equilibrium.
  • If ?gt4, then there are at least three social
    equilibria.

12
Why ? 4?
  • In the neighbourhood of middle equilibrium in
    Figure 1, at which P(x)0.5, ?P(x)/?Pe(x)gt1.
  • With the logistic distribution,
  • ?P(x)/?Pe(x) ?P(x)1-P(x).
  • Around middle equil, ?P(x)/?Pe(x)0.25?.
  • Implies ?P(x)/?Pe(x)gt1 in the neighbourhood of
    equil. requires ?gt4.

13
?gt4 is not a sufficient condition for multiple
equilibria
  • E.g. the distribution of observable attributes
    (z) is sufficiently skewed toward people who
    favour (are against) the action.
  • Or the symmetry is not around the origin.
  • Then there can be one high-level (low-level)
    equilibrium.

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16
Stability of equilibria and dynamics
  • Denote the middle equilibrium in first Figure
    as P.
  • For Pe (x)gtP, Pe(x)gtP(x), which increases P(x)
    in next cohort
  • ? converge to high level equilibrium.
  • Conversely, starting at values of the expected
    proportion below P.
  • ? converge to low level equilibrium.
  • Middle equilibrium is unstable.

17
Implications
  • History matters (e.g. initial expectations) for
    the selection of the low-level or high-level
    equilibrium.
  • Temporary changes in the socio-economic
    environment that alter behaviour and/or
    expectations can produce dramatic changes
  • ? move from low level to high level equilibirum

18
Multiplier effects (low ?, larger ?)
19
Shift in the distribution of attributes
favourable to action from skewed against
20
Shift from multiple equilibria to unique high
level equilibrium, e.g. larger ?)
21
Example rapid increase in non-marital
childbearing in Europe
22
Explosion of births outside marriage in Britain
23
Who has a birth before marriage?
  • Costs of non-marital birth in terms of labour and
    marriage market opportunities lost are smaller
    for women with poorer prospects in these
    markets
  • E.g. women with less education.
  • Expect women with poorer prospects to be more
    likely to have a birth before marriage.

24
Social interaction and differentials
  • If reference group for social influence is
    people of a similar background, then
    differences in birth rates by education levels
    would be larger when non-marital childbearing is
    more common.
  • If reference group for social influence is
    wider population, then educational differentials
    would be smaller when non-marital births are more
    common.

25
Different equilibria by education group
26
Comparison of birth rates
  • Estimate proportional hazard models of first
    birth rates
  • within cohabiting unions (at risk from start of
    union to break-up/marriage/childbirth).
  • Outside live-in union (at risk from age 14
    until union is formed or child is born).
  • Compare birth rates of less educated relative to
    more educated women, as defined earlier.

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28
Geographic clustering and social interaction
  • If reference groups are within a country,
    country-clustering is consistent with a social
    interaction model with multiple equilibria (e.g.
    social stigma).
  • Example cohabiting unions in Europe.
  • Three broad groups in terms of the percentage of
    women aged 25-29 who live in a cohabiting union.

29
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30
Dramatic increase in cohabitation in Britain
Percent who cohabited in their first live-in
partnership, by birth cohort
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32
Cohabitation in first union
  • Cohabitation was more likely for more educated
    women for women born in 1950s and 1960s.
  • Less educated women had caught up by 1970s
    cohort.
  • More educated were pioneers in cohabitation.

33
Markets and Multipliers
  • Social multipliers and multiple equilibria can
    also arise through market interactions.
  • E.g. positive social interaction mediated by the
    marriage market.
  • Example 1 Divorce
  • Example 2 The impact of the contraceptive pill
    on womens career decisions

34
Divorce and prospects of remarriage
  • Divorce brings costs, because finding another
    partner involves time and effort, and there is a
    risk of remaining single.
  • The expected gain from divorce depends,
    therefore, on the prospects of remarriage.
  • These prospects depend on the decisions of others
    to divorce and remarry.
  • ? a high-divorce or a low-divorce equilibrium may
    be supported with the same set of fundamental
    factors affecting divorce decisions.

35
Divorce and prospects of remarriage
  • If many couples are expected to divorce, then the
    prospects of remarriage are high because there
    are more people in the remarriage market
  • ?divorce less costly ?more divorce.
  • Low divorce rates ?divorce more costly ?fewer
    divorce.
  • the possibility of multiple equilibria
    (self-fulfilling nature of divorce expectations).

36
Multiplier effects search externalities
  • Even if there is a unique equilibrium, an
    increase in the divorce rate generated by a small
    change in its fundamental determinants can give
    rise to a large change in the divorce rate.
  • Because people do not take into account that
    ones own divorce increases the remarriage
    chances of all other divorcees, the marriage
    market produces too few divorces ? inefficiency.

37
The Pill and Womens Careers
  • In the absence of reliable contraception, women
    undertaking lengthy professional education would
    have to incur
  • the cost of sexual abstinence
  • or the risk of pregnancy.
  • The Pill decreased the cost of investment.
  • Encouraged more women to enter professional
    careers.

38
The costs of delaying marriage
  • Lengthy education generally requires the delay of
    marriage.
  • In the interim other women marry.
  • Career women are more likely to have to settle
    for a poorer match (smaller pool of eligible
    bachelors).
  • Argument and evidence in C. Goldin and L. Katz
    (2000).

39
Indirect social multiplier effect
  • By reducing the penalty of delaying marriage
    (sexual abstinence or pregnancy risk), the Pill
    encouraged all women and men to delay marriage to
    a time when their tastes and character were
    better formed.
  • Created a better (thicker) marriage market for
    career women.
  • Reduced the cost of delaying marriage.
  • Encouraged them to pursue a career.
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