Does residential location matter to the employment of TANF recipients Evidence from a dynamic discrete choice model with unobserved effects
We study the factors affecting the employment probability of temporary assistance for needy families (TANF) recipients using recent quarterly panel data from Atlanta, Georgia. A central focus of our study is to determine whether the TANF recipient's proximity to job opportunity and the availability of childcare affect her probability of full-time employment. Both static and dynamic models of employment choice are estimated that control for unobserved individual effects. We estimate models separately for a sub-sample of TANF recipients living in public housing, whose residential locations can be considered exogenously determined. We find substantial evidence that individual and family characteristics (such as, the education of the recipient and the number of children and adults in her family) are important determinants of the employment probability of welfare recipients. On the other hand, location-related variables are found to be relatively unimportant.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Raphael, Steven, 1998. "The Spatial Mismatch Hypothesis and Black Youth Joblessness: Evidence from the San Francisco Bay Area," Journal of Urban Economics, Elsevier, vol. 43(1), pages 79-111, January.
- Jeffrey M Wooldridge, 2002.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
CeMMAP working papers
CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
- Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
- Lawrence F. Katz & Jeffrey R. Kling & Jeffrey B. Liebman, 2000.
"Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment,"
NBER Working Papers
7973, National Bureau of Economic Research, Inc.
- Lawrence F. Katz & Jeffrey R. Kling & Jeffrey B. Liebman, 2001. "Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 607-654.
When requesting a correction, please mention this item's handle: RePEc:eee:juecon:v:63:y:2008:i:1:p:325-351. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.