674 research outputs found

    An Intergenerational Model of Domestic Violence

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    This paper proposes and analyzes an intergenerational model of domestic violence (IMDV) in which behavioral strategies or scripts are transmitted from parents to children. The model rests upon three key assumptions: * The probability that a husband will be violent depends on whether he grew up in a violent home. * The probability that a wife will remain with a violent husband depends on whether she grew up in a violent home. * Individuals who grew up in violent homes tend to marry individuals who grew up in violent homes. The IMDV calls attention to three features neglected in the domestic violence literature. The first is the marriage market. If some men are more likely than others to be violent as husbands and some women are more likely than others to remain in violent marriages, then the probability that such individuals marry each other is crucial. The second neglected feature is divorce: ongoing domestic violence requires the conjunction of a husband who is violent and a wife who stays. Third, variables and policies that reduce the rate of domestic violence in the short run are likely to reduce it even further in the long run.

    Bargaining Power in Marriage: Earnings, Wage Rates and Household Production

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    What determines bargaining power in marriage? This paper argues that wage rates, not earnings, determine well-being at the threat point and, hence, determine bargaining power. Observed earnings at the bargaining equilibrium may differ from earnings at the threat point because hours allocated to market work at the bargaining solution may differ from hours allocated to market work at the threat point. In the divorce threat model, for example, a wife who does not work for pay while married might do so following a divorce; hence, her bargaining power would be related to her wage rate, not to her earnings while married. More generally, a spouse whose earnings are high because he or she chooses to allocate more hours to market work, and correspondingly less to household production and leisure, does not have more bargaining power. But a spouse whose earnings are high because of a high wage rate does have more bargaining power. Household production has received little attention in the family bargaining literature. The output of household production is analogous to earnings, and a spouse's productivity in household production is analogous to his or her wage rate. Thus, in a bargaining model with household production, a spouse's productivity in home production is a source of bargaining power.

    Bargaining Around the Hearth

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    In "Unpacking the Household: Informal Property Rights Around the Hearth" (Yale Law Journal, 2006) Robert Ellickson argues that as long as members of a household expect their relationship to continue, norms, rather than law, will determine allocations among them. More specifically, Ellickson argues that in "midgame" household members either ignore the "endgame" completely or, if they do take endgame considerations into account, the relevant endgame considerations are determined by norms rather than by law. This paper examines the fit between Ellickson's claims and four bargaining models that economists have used to understand interactions within household and families.

    Allocating Time: Individuals' Technologies, Household Technology, Perfect Substitutes, and Specialization

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    In an efficient household if the spouses' time inputs are perfect substitutes, then spouses will “specialize" regardless of their preferences and the governance structure. That is, both spouses will not allocate time to both household production and the market sector. The perfect substitutes assumption implies that spouses' "unilateral" production functions (i.e., the household production function when only one spouse allocates time to home production) are closely related, satisfying a highly restrictive condition that I call "compatibility." I introduce the “correspondence assumption,” which postulates that the unilateral production functions in a newly formed household coincide with individuals’ production functions before they enter marriage. The correspondence assumption provides a plausible account of the genesis of household technology and simplifies its estimation. I introduce the "additivity assumption” which postulates that the household production function is the sum of the spouses' unilateral production functions and argue that additivity is implicit in much of the new home economics. Together, the correspondence and additivity assumptions imply that individuals’ technologies reveal the entire household technology. I show that perfect substitutes, additivity and concavity imply that the household production function is of the same form as the unilateral production functions, exhibits constant returns to scale, and depends on the spouses' total time inputs, measured in efficiency units.

    Family Proximity, Childcare, and Women's Labor Force Attachment

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    We show that close geographical proximity to mothers or mothers-in-law has a substantial positive effect on the labor supply of married women with young children. We argue that the mechanism through which proximity increases labor supply is the availability of childcare. We interpret availability broadly enough to include not only regular scheduled childcare during work hours but also an insurance aspect of proximity (e.g., a mother or mother-in-law who can provide irregular or unanticipated childcare). Using two large datasets, the National Survey of Families and Households and the public use files of the U.S. Census, we find that the predicted probability of employment and labor force participation is 4-10 percentage points higher for married women with young children living in close proximity to their mothers or their mothers-in-law compared with those living further away.

    Why Are Power Couples Increasingly Concentrated in Large Metropolitan Areas

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    Using census data, Costa and Kahn (QJE, 2000) find that power couples - couples in which both spouses have college degrees - are increasingly likely to be located in the largest metropolitan areas. One explanation for this trend is that college educated couples are more likely to face a co-location problem - the desire to satisfy the career aspirations of both spouses - and therefore are more attracted to large labor markets than are other couples. An alternative explanation is that all college educated individuals, married and unmarried, are attracted to the amenities and high returns to education found in large cities and that as a result, the formation of power couples through marriage of educated singles and additional education is more likely to occur in larger than smaller metropolitan areas. Using the Panel Study of Income Dynamics (PSID), we analyze the dynamic patterns of migration, marriage, divorce and education in relation to city size and find that power couples are not more likely to migrate to the largest cities than part-power couples or power singles. Instead, the location trends are better explained by the higher rate of power couple formation in larger metropolitan areas. Regression analysis suggests that it is only the education of the husband and not the joint education profile of the couple that affects the propensity to migrate to large metropolitan areas.

    Efficiency in Marriage

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    Economists usually assume that bargaining in marriage leads to efficient outcomes. The most convincing rationale for this assumption is the belief that efficient allocations are likely to emerge from repeated interactions in stationary environments, and that marriage provides such an environment. This paper argues that when a current decision affects future bargaining power, inefficient outcomes are plausible. If the spouses could make binding commitments -- in effect, commitments to refrain from exploiting the future bargaining advantage -- then the inefficiency would disappear. But spouses seldom can make binding commitments regarding allocation within marriage. To investigate the efficiency of bargaining within marriage when choices affect future bargaining power, we consider the location decisions of two-earner couples. These location decisions are transparent and analytically tractable examples of choices likely to affect future bargaining power, but the logic of our analysis applies to many other decisions. For example, decisions about education, fertility, and labor force participation are also potential sources of inefficiency.

    Proximity and Coresidence of Adult Children and their Parents: Description and Correlates

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    The ability of family members to engage in intergenerational transfers of hands-on care requires close proximity or coresidence. In this paper we describe and analyze the patterns of proximity and coresidence involving adult children and their mothers using data from the National Survey of Families and Households (NSFH) and the U.S. Census. Although intergenerational coresidence has been declining in the United States, most Americans live within 25 miles of their mothers. In both the raw data and in regression analyses, the most robust predictor of proximity of adult children to their mothers is education. Individuals are less likely to live near their mothers if they have a college degree. Virtually all previous studies have considered coresidence alone, or else treat coresidence as a limiting case of close proximity. We show that this treatment is misleading. We find substantial differences in the correlates of proximity by gender and marital status, indicating the need to model these categories separately. Other demographic variables such as age, race and ethnicity also affect the probability of coresidence and close proximity, but characteristics indicating a current need for transfers (e.g., disability) are not correlated with close proximity.

    Does family structure affect children's educational outcomes?

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    In this paper we examine the effect of family structure on children’s educational outcomes by exploiting the sibling structure in the NLSY and NLSY-Child to control for unobserved heterogeneity across families and individuals. We also compare outcomes for children within the same family—stepchildren with their half-siblings in the same blended family who are the biological children of both parents. Using panel data methods to control for unobserved heterogeneity across families, we find that family structure effects are statistically insignificant. Finally, comparing half-siblings in our data, we find no difference in educational outcomes as a function of family structure. Our empirical results are consistent with at least two interpretations. First, they can be interpreted as evidence that estimates of family structure effects reflect selection rather than causation. Second, they can be interpreted as evidence that the presence of stepchildren disrupts families.Child care ; Demography ; Education ; Human capital
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