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Long-Term Effects of Public Low-Income Housing Vouchers: Work, Neighborhood, Family Composition and Childcare Usage

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  • Robert Haveman
  • Barbara Wolfe

Abstract

Using a propensity score matching approach coupled with difference-in-differences regression analysis, we estimate the effect of receiving a low-income housing voucher on the employment and earnings, mobility, neighborhood quality, household/family composition and childcare utilization of a large longitudinal sample of low-income families in the U.S. We observe these effects over six years following voucher receipt. Our results indicate that voucher receipt has little effect on employment, but a negative effect on earnings. The negative earnings effect is largest in the years immediately following initial receipt, and fades out over time. Full-sample results show voucher receipt to have little effect on neighborhood quality in the short-term, but some positive long-term effects. We also find that voucher receipt is tied to a higher probability of change in household/family composition in the year of voucher receipt, but greater stability in subsequent years. The results of our propensity score matching procedure show voucher receipt to be tied to a greater take-up of public child care subsidies. Several robustness tests are run to support the reliability of our findings. We discuss the implications of our findings for research and policy.

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Bibliographic Info

Paper provided by Centre for Economic Policy Research, Research School of Economics, Australian National University in its series CEPR Discussion Papers with number 667.

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Date of creation: Jul 2012
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Handle: RePEc:auu:dpaper:667

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  1. Juan Jose Diaz & Sudhanshu Handa, 2006. "An Assessment of Propensity Score Matching as a Nonexperimental Impact Estimator: Evidence from Mexico’s PROGRESA Program," Journal of Human Resources, University of Wisconsin Press, vol. 41(2).
  2. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers 0102-14, Columbia University, Department of Economics.
  3. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
  4. Sandra Newman & C. Scott Holupka & Joseph Harkness, 2009. "The long-term effects of housing assistance on work and welfare," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 81-101.
  5. Sinai, Todd & Waldfogel, Joel, 2005. "Do low-income housing subsidies increase the occupied housing stock?," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2137-2164, December.
  6. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
  7. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82.
  8. Susan Clampet-Lundquist & J. Greg Duncan & Kathryn Edin & Jeffrey R. Kling & Kristin Turney, 2006. "Neighborhood Effects on Barriers to Employment: Results From a Randomized Housing Mobility Experiment in Baltimore," Working Papers 890, Princeton University, Department of Economics, Industrial Relations Section..
  9. Shroder, Mark, 2002. "Does housing assistance perversely affect self-sufficiency? A review essay," Journal of Housing Economics, Elsevier, vol. 11(4), pages 381-417, December.
  10. Maureen A. Pirog & Anne L. Buffardi & Colleen K. Chrisinger & Pradeep Singh & John Briney, 2009. "Are the alternatives to randomized assignment nearly as good? Statistical corrections to nonrandomized evaluations," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 169-172.
  11. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," NBER Working Papers 7831, National Bureau of Economic Research, Inc.
  12. Eriksen, Michael D. & Rosenthal, Stuart S., 2010. "Crowd out effects of place-based subsidized rental housing: New evidence from the LIHTC program," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 953-966, December.
  13. Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
  14. Andrew Dyke & Carolyn J. Heinrich & Peter R. Mueser & Kenneth R. Troske & Kyung-Seong Jeon, 2006. "The Effects of Welfare-to-Work Program Activities on Labor Market Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 567-608, July.
  15. Charles Michalopoulos & Howard S. Bloom & Carolyn J. Hill, 2004. "Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs?," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 156-179, February.
  16. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  17. Eriksen, Michael D., 2009. "The market price of Low-Income Housing Tax Credits," Journal of Urban Economics, Elsevier, vol. 66(2), pages 141-149, September.
  18. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, 01.
  19. Shroder, Mark, 2002. "Locational Constraint, Housing Counseling, and Successful Lease-up in a Randomized Housing Voucher Experiment," Journal of Urban Economics, Elsevier, vol. 51(2), pages 315-338, March.
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