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Post‐Hurricane Katrina Employment Recovery: The Interaction of Race and Place

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  • Lisa K. Zottarelli

Abstract

Objective. The mass migrations, infrastructure decimation, and widespread impact zone make Hurricane Katrina an especially difficult disaster from which to recover. Employment is an important aspect of effective disaster recovery. The purpose of this article is to examine determinants of employment recovery approximately one month and one year after Hurricane Katrina. Methods. The data are from a two‐stage survey of Hurricane Katrina survivors conducted by the Gallup Organization in September/October 2005 and August 2006. A series of logistic regression models were preformed on data from the two time points. Results. The results suggest a complexity to inequality where race and place interact to determine employment recovery. Displacement, gender, income, and homeownership were also significant. Conclusions. Recovery efforts and future research need to incorporate more complex understandings of vulnerability, with particular attention paid to the issues of employment and reemployment.

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  • Lisa K. Zottarelli, 2008. "Post‐Hurricane Katrina Employment Recovery: The Interaction of Race and Place," Social Science Quarterly, Southwestern Social Science Association, vol. 89(3), pages 592-607, September.
    • Handle: RePEc:bla:socsci:v:89:y:2008:i:3:p:592-607
    DOI: 10.1111/j.1540-6237.2008.00550.x
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    References listed on IDEAS

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    1. Masozera, Michel & Bailey, Melissa & Kerchner, Charles, 2007. "Distribution of impacts of natural disasters across income groups: A case study of New Orleans," Ecological Economics, Elsevier, vol. 63(2-3), pages 299-306, August.
    2. Alice Fothergill & Lori Peek, 2004. "Poverty and Disasters in the United States: A Review of Recent Sociological Findings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 32(1), pages 89-110, May.
    3. William A. Darity & Patrick L. Mason, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring.
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    Cited by:

    1. Aoyagi, Midori & Suda, Eiko & Shinada, Tomomi, 2011. "Gender Inclusion in Climate Change Adaptation," ADBI Working Papers 309, Asian Development Bank Institute.
    2. Shuangshuang Tang & Xin Li, 2021. "Responding to the pandemic as a family unit: social impacts of COVID-19 on rural migrants in China and their coping strategies," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    3. Elizabeth Fussell & Elizabeth Harris, 2014. "Homeownership and Housing Displacement After Hurricane Katrina Among Low-Income African-American Mothers in New Orleans," Social Science Quarterly, Southwestern Social Science Association, vol. 95(4), pages 1086-1100, December.
    4. Ariel R. Belasen & Solomon W. Polachek, 2013. "Natural disasters and migration," Chapters, in: Amelie F. Constant & Klaus F. Zimmermann (ed.), International Handbook on the Economics of Migration, chapter 17, pages 309-330, Edward Elgar Publishing.
    5. Yingqi Zhu & Ying Wang & Tianxue Liu & Qi Sui, 2018. "Assessing macroeconomic recovery after a natural hazard based on ARIMA—a case study of the 2008 Wenchuan earthquake in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(3), pages 1025-1038, April.

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