Five-year effects of an anti-poverty program on marriage among never-married mothers

2005 ◽  
Vol 25 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Anna Gassman-Pines ◽  
Hirokazu Yoshikawa
2020 ◽  
Vol 46 (3) ◽  
pp. 397-424
Author(s):  
Małgorzata Mikucka

AbstractThis paper analyses trajectories of life satisfaction among elderly people in various family situations and tests whether the disadvantage related to being single or childless increases (as predicted by cumulative (dis)advantage hypothesis) or reduces (consistently with age-as-leveler hypothesis) when people get older. The results show that the disadvantage of never married mothers grows with age, whereas the disadvantage of divorced people reduces with age. The study suggests that, in general, the increasing probability of ageing without close kin does not put at risk life satisfaction of elderly people.


1996 ◽  
Vol 17 (2) ◽  
pp. 170-185 ◽  
Author(s):  
REBECCA A. LONDON

In this study, I examine the way in which divorced and never-married single mothers differ in their decisions to participate in Aid to Families With Dependent Children (AFDC). Using data from the Survey of Income and Program Participation (SIPP), I find that divorced mothers are twice as likely to receive AFDC benefits than never-married mothers. When the gap between the participation rates is decomposed, I find that at most 25% is due to differences in the distribution of measured characteristics. The remaining portion is due to differences in the AFDC decision-making process. Hence, in attempting to move disadvantaged single mothers off welfare, policies need to address issues broader than modifying individual behavior. The decision-making process potentially encompasses influences from family and the community. Without addressing these forces, many single mothers will prefer to remain AFDC participants given their set of available options.


2018 ◽  
Author(s):  
Joanna Pepin ◽  
Liana C Sayer ◽  
Lynne Casper

Assumptions that single mothers are “time-poor” compared with married mothers are ubiquitous, but variation in mothers’ time use is less studied than differences between mothers and fathers. We use the 2003-2012 American Time Use Surveys (ATUS) to examine marital status variation in mothers’ time spent in housework, childcare, leisure, and sleep. We find no difference in time spent on childcare between mothers, suggesting that behavioral propensities to engage in childcare are similar for all mothers; children’s needs are immutable. Married mothers do more housework and spend less time sleeping than all other mothers. Never married and cohabiting mothers have significantly more leisure time than married mothers, although this time is mostly spent watching television. Differences in demographic characteristic explain two-thirds of the variance in sedentary leisure time between married and never married mothers. These results provide no support for the time poverty thesis but offer some support for the doing gender perspective.


2020 ◽  
Author(s):  
Areen Omary

Aims: This study aims to examine if age and marital status can predict the risk for binge alcohol use (BAU) among adults with a major depressive episode (MDE). Methods: Data from the Substance Abuse and Mental Health Services Administration’s (SAMHSA) 2018 National Survey for Drug Use and Health (NSDUH) were analyzed. The unweighted sample included 6,999 adults representing a weighted population size of 33,900,452.122 in the US. Results and Conclusions: The findings of this retrospective research confirmed that age and marital status significantly predicted BAU in the past month among adults with MDE. Adults with MDE at higher risk for BAU were adults under the age of 50, adults who were never married, and adults who were divorced/separated. Special attention must be paid to those in age groups under 50, never married, and have been separated/divorced who are particularly at-risk for future alcohol abuse. Future research should consider examining additional potential confounders for BAU among other at-risk populations.


Sign in / Sign up

Export Citation Format

Share Document