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Measuring the Impact of Welfare Benefits on Welfare Durations: State Stratified Partial Likelihood and Fixed Effect Approaches

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  • Fitzgerald John M

    (Bowdoin College)

Abstract

Previous studies of welfare durations in the U.S. have analyzed the role of welfare benefits on the length of time recipients remain on welfare. Typically these studies use individual data and estimate the benefit effects based on both cross-sectional variation across locations and time variation within locations. Cross sectional results on benefit effects may be biased due to unobserved state specific differences in welfare programs or attitudes. This paper compares two strategies for dealing with the problem when estimating welfare exit hazard models: stratification of baseline hazards by state and the inclusion of state fixed effects in the hazards. Although the results show that high benefit states appear to have unobserved characteristics that lead to longer spells, the results also show that increases in welfare benefits do not directly increase welfare durations once one controls for state specific effects.

Suggested Citation

  • Fitzgerald John M, 2004. "Measuring the Impact of Welfare Benefits on Welfare Durations: State Stratified Partial Likelihood and Fixed Effect Approaches," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-20, February.
    • Handle: RePEc:bpj:bejeap:v:topics.4:y:2004:i:1:n:1
    DOI: 10.2202/1538-0653.1121
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    1. Richard Strouse & Barbara Carlson & John Hall, "undated". "Report on Survey Methods for the Community Tracking Study's 1998-1999 Round Two Household Survey (Appendices)," Mathematica Policy Research Reports c54f48c5be584d29893813682, Mathematica Policy Research.
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    Cited by:

    1. Hervé, Justine, 2023. "Specialists or generalists? Cross-industry mobility and wages," Labour Economics, Elsevier, vol. 84(C).
    2. John M. Fitzgerald & David Ribar, 2001. "The Impact of Welfare Waivers on Female Headship Decisions," JCPR Working Papers 247, Northwestern University/University of Chicago Joint Center for Poverty Research.
    3. John C. Ham & Xianghong Li & Lara D. Shore-Sheppard, 2016. "The Employment Dynamics of Disadvantaged Women: Evidence from the SIPP," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 899-944.
    4. John C. Ham & Xianghong Li & Lara Shore-Sheppard, 2009. "Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women," NBER Working Papers 15151, National Bureau of Economic Research, Inc.

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