1988 National Survey of Families and Households

Sweet, James A.; Bumpass, Larry L.; Call, Vaughn R. A.

doi:10.1037/e386712004-001

Cited by 336 publications

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“…The weights were prepared by the NSFH researchers. 40 We used Box-Cox transformation of the income and alcohol intake variables, a frequently used procedure that smoothes out the effect of outlier values and approximates the variables to a normal distribution. The transformations were sufficient to produce reasonable residual plots (see tables on the wjm web site, www.ewjm.…”

Section: Discussionmentioning

confidence: 99%

The relation of family violence, employment status, welfare benefits, and alcohol drinking in the United States

Rodríguez

Lasch²,

Chandra³

et al. 2001

Western Journal of Medicine

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ⅷ Objective To examine the contribution of employment status, welfare benefits, alcohol use, and other individual and contextual factors to physical aggression during marital conflict. ⅷ Methods Logistic regression models were used to analyze panel data collected in the National Survey of Families and Households in 1987 and1992. A total of 4,780 married or cohabiting persons reinterviewed in 1992 were included in the analysis. Domestic violence was defined as reporting that both partners were physically violent during arguments. ⅷ Results Unemployed respondents are not at greater risk of family violence than employed respondents, after alcohol misuse, income, education, age, and other factors are controlled for; however, employed persons receiving welfare benefits are at significantly higher risk. Alcohol misuse, which remains a predictor of violence even after other factors are controlled for, increases the risk of family violence, and satisfaction with social support from family and friends is associated with its decrease. ⅷ Conclusions Alcohol misuse has an important effect on domestic violence, and the potential impact of welfare reform on domestic violence needs to be monitored.

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Section: Discussionmentioning

confidence: 99%

The relation of family violence, employment status, welfare benefits, and alcohol drinking in the United States

Rodríguez

Lasch²,

Chandra³

et al. 2001

Western Journal of Medicine

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“…We use data obtained from the second wave of the National Survey of Families and Households (NSFH), which employed a national probability sample of housing units; one adult per household was randomly selected as the main respondent (Sweet, Bumpass and Call 1988).…”

Section: Datamentioning

confidence: 99%

Whose money, whose time? A nonparametric approach to modeling time spent on housework in the United States

Gupta¹,

Ash²

2008

Feminist Economics

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We argue that earlier quantitative research on the relationship between heterosexual partners' earnings and time spent on housework has two basic flaws. First, it has focused on the effects of women's shares of couples' total earnings on their housework, and has not considered the simpler possibility of an association between women's absolute earnings and housework.Consequently it has relied on unsupported theoretical restrictions in the modeling. We adopt a flexible, nonparametric approach that does not impose the polynomial specifications on the data that characterize the two dominant models of the relationship between earnings and housework, the "economic exchange" and "gender display" hypotheses. Our nonparametric model allows the relationships among earnings shares, earnings, and time spent on housework to emerge from the data. A second problem with earlier studies is that they have tended to draw uniform inferences across the range of data, including regions where the data are sparse. This has led to interpretations of parametric curves that are driven by these thinly populated regions, and that may not be robust across the data. By contrast, our study explicitly assesses the reliability of results obtained in such regions. Our results provide support for an alternative model that emphasizes the importance of partners' own earnings for their housework, especially in the case of women. Women's own earnings are negatively associated with their housework hours, independently of their partners' earnings and their shares of couples' total earnings, which do not matter.2

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“…During 1987During -88 (W1: 1987, interviews were conducted with 13,005 respondents and during 1992-94 (W2: 1992-94 (Musick & Bumpass, 2012). Among eligible households, the response rate was 75% at W1: 1987-88 (Sweet, Bumpass, & Call, 1988) and 82% (n=10,005) at W2: 1992-94 (Sweet & Bumpass, 1996). A third wave of data was collected in 2001-2002. Regrettably, of the main respondents previously interviewed, only a subset of older adults who had a child aged 5 years or older at W1: 1987-88 or were 45 or older at wave three were re-interviewed.…”

Section: Participantsmentioning

confidence: 99%

Coping with Economic Stress: A Test of Deterioration and Stress-Suppressing Models

Bartholomae¹

2017

Journal of Financial Therapy

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1988 National Survey of Families and Households

Cited by 336 publications

References 0 publications

The relation of family violence, employment status, welfare benefits, and alcohol drinking in the United States

The relation of family violence, employment status, welfare benefits, and alcohol drinking in the United States

Whose money, whose time? A nonparametric approach to modeling time spent on housework in the United States

Coping with Economic Stress: A Test of Deterioration and Stress-Suppressing Models

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