*Direct correspondence to Domenico Parisi, Social Science Research Center, PO Box 5287, Mississippi State University, MS 39762 〈firstname.lastname@example.org〉. Data are available on request. The core support for this research came from the U.S. Department of Agriculture's National Research Initiative Competitive Grant Program (Project No. 2002-35401-11592). The project was also supported by the Mississippi Agricultural and Forestry Experiment Station (Project No. MIS-605080), Mississippi State University Social Science Research Center, and Experiment Station Project 3644 of the Pennsylvania State University. We acknowledge the contributions of the Mississippi Department of Human Services (MDHS). Special thanks go to Mr. Chris Christmas, data manager at MDHS. Finally, we thank the editor and anonymous reviewers for their suggestions and comments.
Exiting TANF: Individual and Local Factors and Their Differential Influence Across Racial Groups*
Version of Record online: 7 FEB 2006
Social Science Quarterly
Volume 87, Issue 1, pages 76–90, March 2006
How to Cite
Parisi, D., McLaughlin, D. K., Grice, S. M. and Taquino, M. (2006), Exiting TANF: Individual and Local Factors and Their Differential Influence Across Racial Groups. Social Science Quarterly, 87: 76–90. doi: 10.1111/j.0038-4941.2006.00369.x
- Issue online: 7 FEB 2006
- Version of Record online: 7 FEB 2006
Objective. We ask whether individual and local factors known to influence reliance on welfare continue to be important under the TANF program, and if such factors differentially affect exit from TANF for African Americans and whites.
Methods. We use monthly administrative data on TANF recipients from October 1996 to July 2004 from the Mississippi Department of Human Services. These data are linked to local economic, social, and spatial characteristics to estimate discrete time hazard models of TANF exit.
Results. Personal barriers to work (e.g., low education and children) and limited economic and social opportunities in communities reduce the likelihood of leaving TANF. The results show that African-American exits from TANF are more influenced by human capital and local economic, social, and spatial conditions than are whites' TANF exits.
Conclusion. The work-first initiative under TANF is most viable where individual barriers to work are limited and economic opportunities and community support to become self-sufficient exist for all people.