scholarly journals Changing Lone Parents, Changing Life Courses

Author(s):  
Laura Bernardi ◽  
Dimitri Mortelmans ◽  
Ornella Larenza
Keyword(s):  
2019 ◽  
Author(s):  
May Khourshed ◽  
Christian Hunkler ◽  
Romuald Meango ◽  
Axel Börsch‐Supan
Keyword(s):  

2021 ◽  
pp. 100429
Author(s):  
Anne McMunn ◽  
Rebecca Lacey ◽  
Diana Worts ◽  
Diana Kuh ◽  
Peggy McDonough ◽  
...  

1998 ◽  
Vol 27 (3) ◽  
pp. 351-369 ◽  
Author(s):  
MICHAEL NOBLE ◽  
SIN YI CHEUNG ◽  
GEORGE SMITH

This article briefly reviews American and British literature on welfare dynamics and examines the concepts of welfare dependency and ‘dependency culture’ with particular reference to lone parents. Using UK benefit data sets, the welfare dynamics of lone mothers are examined to explore the extent to which they inform the debates. Evidence from Housing Benefits data show that even over a relatively short time period, there is significant turnover in the benefits-dependent lone parent population with movement in and out of income support as well as movement into other family structures. Younger lone parents and owner-occupiers tend to leave the data set while older lone parents and council tenants are most likely to stay. Some owner-occupier lone parents may be relatively well off and on income support for a relatively short time between separation and a financial settlement being reached. They may also represent a more highly educated and highly skilled group with easier access to the labour market than renters. Any policy moves paralleling those in the United States to time limit benefit will disproportionately affect older lone parents.


2009 ◽  
Vol 39 (1) ◽  
pp. 95-118 ◽  
Author(s):  
CHRISTINA MOKHTAR ◽  
LUCINDA PLATT

AbstractThis article investigates the ethnic patterning of exit from means-tested benefits in a UK town. Lone parents in the UK face high risks of poverty and high rates of receipt of means-tested, out-of-work benefits. There has been extensive policy concern with lone parents' poverty and with potential ‘welfare dependency’. Investigation of welfare dynamics has unpacked the notion of welfare dependency, and has stimulated policy to better understand the factors associated with longer rather than shorter durations. However, within this analysis, there has been little attention paid to ethnicity. This is despite the fact that the extensive literature on the UK's minority ethnic groups has emphasised diversity in both rates of lone parenthood and risks of poverty. To date we have little understanding of ethnic variation in lone parents' welfare dynamics. Using a data set drawn from administrative records, this article analyses the chances of leaving means-tested benefit for a set of lone mothers in a single town, exploring whether there is variation by ethnic group. We find that, controlling for basic demographic characteristics, there is little evidence to suggest that ethnicity affects the chances of benefit exit, even between groups where rates of lone parenthood are very different.


2009 ◽  
pp. 123-137
Author(s):  
Tess Ridge ◽  
Jane Millar

- Analysis of poverty dynamics based on large-scale survey data shows that there is limited mobility across the income distribution for most individuals and families. Some people may get better-off over the lifecourse, as their careers develop and wages rise, but overall most poor people do not become very rich and most rich people do not become very poor. Lone parents are at high risk of poverty in the UK, but this poverty risk is reduced for those who are in employment and who receive state financial support through Tax Credits to supplement their wages. This article reports on longitudinal qualitative research which has involved repeat interviews with lone mothers and their children over a period of three to four years. The analysis here explores the experiences of sustaining employment while living on a low, but complex, income and highlights the challenges faced in seeking financial security in this context.


Author(s):  
Tomoki Nakaya ◽  
Yuri Ito ◽  
Kazumasa Hanaoka
Keyword(s):  

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