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Neighbourhood Effects as Indirect Effects: Evidence from a Dutch Case Study on the Significance of Neighbourhood for Employment Trajectories

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  • Fenne M. Pinkster

Abstract

One of the key challenges in the study of neighbourhood effects on work is to understand the pathways through which disadvantaged neighbourhoods impact the employment opportunities of residents. Endogenous explanations for neighbourhood effects focus on social life in these neighbourhoods, identifying mechanisms of social isolation, deviant work ethics and neighbourhood disorder. This article studies these mechanisms in a low-income neighbourhood in the Netherlands. The case study shows that unfavourable socioeconomic outcomes can be indirect and unintended consequences of actions and choices in everyday life that are not directly concerned with work. Nevertheless, these individual actions and choices reflect local social practices that are influenced by the marginalized context in which residents lead their lives.

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  • Fenne M. Pinkster, 2014. "Neighbourhood Effects as Indirect Effects: Evidence from a Dutch Case Study on the Significance of Neighbourhood for Employment Trajectories," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(6), pages 2042-2059, November.
    • Handle: RePEc:bla:ijurrs:v:38:y:2014:i:6:p:2042-2059
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    File URL: http://hdl.handle.net/10.1111/j.1468-2427.2012.01197.x
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    2. Cheng Lin & Adel Daoud & Maria Branden, 2022. "To What Extent Do Disadvantaged Neighborhoods Mediate Social Assistance Dependency? Evidence from Sweden," Papers 2206.04773, arXiv.org, revised Aug 2022.
    3. Sabine Meier, 2018. "Being Accommodated, Well Then? ‘Scalar Narratives’ on Urban Transformation and Asylum Seekers’ Integration in Mid-Sized Cities," Urban Planning, Cogitatio Press, vol. 3(4), pages 129-140.
    4. Minou Weijs-Perrée & Pauline Van den Berg & Theo Arentze & Astrid Kemperman, 2017. "Social networks, social satisfaction and place attachment in the neighborhood," REGION, European Regional Science Association, vol. 4, pages 133-151.
    5. Berigel, Muhammet & Boztaş, Gizem Dilan & Rocca, Antonella & Neagu, Gabriela, 2023. "A model for predicting determinants factors for NEETs rates: Support for the decision-makers," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).

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