Pathways of Disadvantage: Unpacking the Intergenerational Correlation in Welfare

被引:10
作者
Bubonya, Melisa [2 ]
Cobb-Clark, Deborah A. [1 ,2 ,3 ]
机构
[1] Univ Sydney, Sydney, NSW, Australia
[2] ARC Ctr Excellence Children & Families Life Cours, Indooroopilly, Qld, Australia
[3] Inst Study Lab IZA, Bonn, Germany
基金
澳大利亚研究理事会;
关键词
Intergenerational welfare; Social mobility; Socioeconomic disadvantage; Social assistance; Welfare; LIVING ARRANGEMENTS; PARENTING STYLES; SUBSTANCE USE; SOCIOECONOMIC DISADVANTAGE; ADULT CHILDREN; EDUCATION; HEALTH; YOUTH; POVERTY; SCHOOL;
D O I
10.1016/j.econedurev.2020.102066
中图分类号
F [经济];
学科分类号
02 ;
摘要
Our goal is to investigate the pathways that link welfare receipt across generations. We undertake a mediation analysis in which we not only calculate the intergenerational correlation in welfare, but also quantify the portion of that correlation that operates through key mechanisms. Our data come from administrative welfare records for young people (aged 23?26) and their parents over nearly two decades which have been linked to survey responses from young people at age 18. The mediators we consider jointly explain nearly a third (32.2 percent) of the intergenerational correlation in welfare receipt. The primary mechanism linking welfare receipt across generations is the failure to complete high school. Adolescents in welfare-reliant families experience more disruptions in their schooling (e.g., school changes and residential mobility, expulsions and suspensions) and receive less financial support from their families both of which impact on their chances of completing high school and avoiding the welfare roll. Young people?s risk-taking behavior (smoking, illicit drug use, delinquency and pregnancy) is also a key mechanism underpinning intergenerational welfare reliance. Physical and mental health, work-welfare attitudes and academic achievement, in contrast, have a more modest role in transmitting welfare receipt across generations.
引用
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页数:18
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共 132 条
  • [1] Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects
    Acharya, Avidit
    Blackwell, Matthew
    Sen, Maya
    [J]. AMERICAN POLITICAL SCIENCE REVIEW, 2016, 110 (03) : 512 - 529
  • [2] Substance use and adolescent sexual activity
    Acworth, Alex
    de Roos, Nicolas
    Katayama, Hajime
    [J]. APPLIED ECONOMICS, 2012, 44 (09) : 1067 - 1079
  • [3] Predicting health behaviors with an experimental measure of risk preference
    Anderson, Lisa R.
    Mellor, Jennifer M.
    [J]. JOURNAL OF HEALTH ECONOMICS, 2008, 27 (05) : 1260 - 1274
  • [4] [Anonymous], 2015, IZA J LABOR EC, DOI DOI 10.1186/S40172-014-0017-X
  • [5] [Anonymous], 2007, OECD SOCIAL EMPLOYME
  • [6] [Anonymous], 2013, DEEP PERSISTENT DISA
  • [7] [Anonymous], 2000, AUST SOC POLICY
  • [8] Pathways to Social Exclusion-A Life-Course Study
    Backman, Olof
    Nilsson, Anders
    [J]. EUROPEAN SOCIOLOGICAL REVIEW, 2011, 27 (01) : 107 - 123
  • [9] Welfare Receipt and the Intergenerational Transmission of Work-Welfare Norms
    Baron, Juan D.
    Cobb-Clark, Deborah A.
    Erkal, Nisvan
    [J]. SOUTHERN ECONOMIC JOURNAL, 2015, 82 (01) : 208 - 234
  • [10] THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS
    BARON, RM
    KENNY, DA
    [J]. JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) : 1173 - 1182