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Fair Housing Enforcement in the South and Non-South

Author

Listed:
  • Charles S. Bullock III
  • Eric M. Wilk
  • Charles M. Lamb

Abstract

type="main"> We compare outcomes in racial discrimination fair housing complaints processed by southern state and local civil rights agencies to those handled by state and local agencies outside the South and the federal agency, HUD (Department of Housing and Urban Development). Based on data obtained directly from HUD, we rely on a fixed effects logistic regression model with cluster-correlated standard errors. First, southern local agencies are significantly more likely to provide outcomes favorable to complainants in racial discrimination fair housing cases than are local agencies outside the South. Second, state and local agencies in the Deep South provide favorable outcomes to the same extent as their nonsouthern counterparts. Third, southern local agencies are more likely to provide favorable outcomes than is HUD, whereas southern state agencies provide favorable outcomes at roughly the same rate as HUD. Variations within the South partially explain these findings. We find evidence of progressive changes in southern fair housing enforcement, although those changes occur in an uneven fashion depending on the state or locality.

Suggested Citation

  • Charles S. Bullock III & Eric M. Wilk & Charles M. Lamb, 2015. "Fair Housing Enforcement in the South and Non-South," Social Science Quarterly, Southwestern Social Science Association, vol. 96(4), pages 941-954, December.
  • Handle: RePEc:bla:socsci:v:96:y:2015:i:4:p:941-954
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    File URL: http://hdl.handle.net/10.1111/ssqu.12180
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    References listed on IDEAS

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    1. Beck, Paul Allen, 1977. "Partisan Dealignment in the Postwar South," American Political Science Review, Cambridge University Press, vol. 71(2), pages 477-496, June.
    2. Nicholas R. Seabrook & Eric M. Wilk & Charles M. Lamb, 2013. "Administrative Law Judges in Fair Housing Enforcement: Attitudes, Case Facts, and Political Control," Social Science Quarterly, Southwestern Social Science Association, vol. 94(2), pages 362-378, June.
    3. Tsang, Eric W. K., 2014. "Old and New," Management and Organization Review, Cambridge University Press, vol. 10(03), pages 390-390, November.
    4. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
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