Tag Archives | Poverty

Unemployment Insurance and the Family: Heterogeneous Effects of Benefit Generosity on Reemployment and Economic Precarity

Ursina Kuhn, Debra Hevenstone, Leen Vandecasteele, Samin Sepahniya, Dorian Kessler

Sociological Science August 16, 2024
10.15195/v11.a24


We investigate how unemployment insurance generosity impacts reemployment and economic precarity by family type. With Swiss longitudinal administrative data and a regression discontinuity design using potential benefit duration, we examine differences between single households and primary and secondary or equal earners, as well as differences by gender and presence of children. Less generous unemployment insurance (shorter potential benefit duration) speeds up reemployment for all family types during the period with benefit cuts whereas longer-term effects are stronger for single households, secondary and equal earners, and those without children. Economic precarity increases for singles, single-parents, and primary earners during the period with lower benefits though there are no long-term effects. We argue that those with higher financial responsibility (i.e., primary earners or those with children) face pressure to find jobs irrespective of benefit generosity whereas those with lower financial responsibility (i.e., secondary or equal earners and those without children) have more capacity to react.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Ursina Kuhn: Social Work, Bern University of Applied Sciences. Swiss Centre of Expertise in the Social Sciences (FORS)
E-mail: ursina.kuhn@fors.unil.ch

Debra Hevenstone: SocialWork, Bern University of Applied Sciences
E-mail: debra.hevenstone@bfh.ch

Leen Vandecasteele: Swiss Centre of Expertise in Life Course Research (LIVES), Faculty of Social and Political Sciences, University of Lausanne
E-mail: leen.vandecasteele@unil.ch

Samin Sepahniya: Social Work and Health, University of Applied Sciences and Arts Northwestern Switzerland
E-mail: samin.sepahniya@fhnw.ch

Dorian Kessler: Social Work, Bern University of Applied Sciences
E-mail: dorian.kessler@bfh.ch

Acknowledgements: This article was written as part of the project Family Models and Unemployment (grant number 176371) funded by the Swiss National Science Foundation (SNSF). We would like to acknowledge the SNSF project “Coupled Inequalities. Trends and Welfare State Differences in the Role of Partner’s Socio-Economic Resources for Employment Careers” (grant number 100017_182406) and the Swiss Centre of Expertise in Life Course Research (LIVES) for fruitful collaboration and exchange. We thank the anonymous reviewers for their valuable comments which helped to clarify the paper. We also thank the SNSF for open access funding of this article.

Supplemental Material

Replication Package: The code for data analysis, data description, and instructions on how data can be requested for replication is provided on SwissUbase. https://doi.org/10.25597/tm2k-jf98

  • Citation: Kuhn, Ursina, Debra Hevenstone, Leen Vandecasteele, Samin Sepahniya and Dorian Kessler. 2024. “Unemployment Insurance and the Family: Heterogeneous Effects of Benefit Generosity on Reemployment and Economic Precarity.” Sociological Science 11: 649-679.
  • Received: July 4, 2024
  • Accepted: March 18, 2024
  • Editors: Ari Adut, Vida Maralani
  • DOI: 10.15195/v11.a24


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Poor State, Rich State: Understanding the Variability of Poverty Rates across U.S. States

Jennifer Laird, Zachary Parolin, Jane Waldfogel, Christopher Wimer

Sociological Science, October 3, 2018
10.15195/v5.a26


According to the Supplemental Poverty Measure, state-level poverty rates range from a low of less than 10 percent in Iowa to a high of more than 20 percent in California. We seek to account for these differences using a theoretical framework proposed by Brady, Finnigan, and Hübgen (2017), which emphasizes the prevalence of poverty risk factors as well as poverty penalties associated with each risk factor. We estimate state-specific penalties and prevalences associated with single motherhood, low education, young households, and joblessness. We also consider state variation in the poverty risks associated with living in a black household and a Hispanic immigrant household. Brady et al. (2017) find that country-level differences in poverty rates are more closely tied to penalties than prevalences. Using data from the Current Population Survey, we find that the opposite is true for state-level differences in poverty rates. Although we find that state poverty differences are closely tied to the prevalence of high-risk populations, our results do not suggest that state-level antipoverty policy should be solely focused on changing “risky” behavior. Based on our findings, we conclude that state policies should take into account cost-of-living penalties as well as the state-specific relationship between poverty, prevalences, and penalties.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Jennifer Laird: Department of Sociology, Lehman College
E-mail: jennifer.laird@lehman.cuny.edu

Zachary Parolin: Herman Deleeck Centre for Social Policy, University of Antwerp
E-mail: Zachary.Parolin@uantwerpen.be

Jane Waldfogel: School of Social Work, Columbia University
E-mail: j.waldfogel@columbia.edu

Christopher Wimer: School of Social Work, Columbia University
E-mail: cw2727@columbia.edu

Acknowledgements: A draft of this article was presented at the 2017 meeting of the American Sociological Association. We are grateful to David Brady and Jake Rosenfeld for their insights on a prior version of this article. This research is supported by generous funding from The JPB Foundation and the Annie E. Casey Foundation.

  • Citation: Laird, Jennifer, Zachary Parolin, Jane Waldfogel, and Christopher Wimer. 2018. “Poor State, Rich State: Understanding the Variability of Poverty Rates across U.S. States.” Sociological Science 5: 628-652.
  • Received: June 17, 2018
  • Accepted: August 21, 2018
  • Editors: Jesper Sørensen, Olav Sorenson
  • DOI: 10.15195/v5.a26


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Neighborhood and Network Disadvantage among Urban Renters

Matthew Desmond, Weihua An

Sociological Science, June 24, 2015
DOI 10.15195/v2.a16

Drawing on novel survey data, this study maps the distribution of neighborhood and network disadvantage in a population of Milwaukee renters and evaluates the relationship between each disadvantage and multiple social and health outcomes. We find that many families live in neighborhoods with above average disadvantage but are embedded in networks with below average disadvantage, and vice versa. Neighborhood (but not network) disadvantage is associated with lower levels of neighborly trust but also with higher levels of community support (e.g., providing neighbors with food). Network (but not neighborhood) disadvantage is associated with lower levels of civic engagement. Asthma and diabetes are associated exclusively with neighborhood disadvantage, but depression is associated exclusively with network disadvantage. These findings imply that some social problems may be better addressed by neighborhood interventions and others by network interventions.
 
Matthew Desmond: Department of Sociology and Social Studies, Harvard University.  Email: mdesmond@fas.harvard.edu

Weihua An: Department of Sociology and Statistics, Indiana University.

Acknowledgements: Supported by the John D. and Catherine T. MacArthur Foundation, through its “How Housing Matters” initiative, and the Harvard Society of Fellows. Deborah De Laurell, Carl Gershenson, Barbara Kiviat, Kristin Perkins, Tracey Shollenberger, Adam Slez, Van Tran, and the Sociological Science editors provided helpful comments on earlier drafts.

  • Citation: Desmond, Matthew, and Weihua An. 2015. “Neighborhood and Network Disadvantage among Urban Renters.” Sociological Science 2: 329-350
  • Received: January 15, 2015
  • Accepted: March 6, 2015
  • Editors: Jesper Sørensen, Kim Weeden
  • DOI: 10.15195/v2.a16

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