1 / 37

Martha M. Galvez WA State DSHS Research & Data Analysis WCPC Seminar, November 14, 2011

Who really cares about “mobility?” Testing assumptions about Housing Choice Voucher holders’ neighborhood preferences. Martha M. Galvez WA State DSHS Research & Data Analysis WCPC Seminar, November 14, 2011. Overview. Background Methods and theoretical framework Results

amiel
Download Presentation

Martha M. Galvez WA State DSHS Research & Data Analysis WCPC Seminar, November 14, 2011

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Who really cares about “mobility?” Testing assumptions about Housing Choice Voucher holders’ neighborhood preferences Martha M. Galvez WA State DSHS Research & Data Analysis WCPC Seminar, November 14, 2011

  2. Overview • Background • Methods and theoretical framework • Results • Implications for policy and research • Questions and comments

  3. Voucher program background • HCV program pays part of private market rent • Serves more than 2 million very low-income households • 2,500 local Public Housing Authorities (“PHAs”)

  4. Voucher program background • Response to isolation & concentrated poverty in public housing • Passive “mobility” expectations • Portability, choice expected to allow low income households to reach high quality neighborhoods

  5. Disappointing location outcomes • 20-25% don’t move at all • Few signs of improved neighborhood quality Source: Census 2000; HUD HCV data, 2004; HUD LIHTC data, 2004

  6. Motivating questions • What’s driving these outcomes? • Housing market constraints alone can’t explain locations • Pendall 2000; Devine et al., 2003; Galvez, 2011 • Voucher holders find their own housing • Why are they choosing these areas? • Is “mobility” actually a goal?

  7. Overview • Background and policy context • Methods and theoretical framework • Results • Implications for policy and research • Questions and comments

  8. Methods • Tracking moves & preferences for 243 Seattle HCV holders • Survey data matched to administrative data • Asking: • Move preferences on the day they received a voucher? • Did outcomes appear to reflect day 1 preferences? • Do some common assumptions about preferences & behavior hold?

  9. Survey constructs Basic move preference • New unit, neighborhood? • Prioritize “mobility”?

  10. Understanding move preferences • Expect voucher income to trigger a move • Expect preferences for new neighborhoods • Expect stronger preferences for clients in low quality areas

  11. Survey constructs: “push/pull” factors Basic move preference • New unit, neighborhood? • Prioritize “mobility”? • Perceived alternatives • Place attachment/ dependence Neighborhood satisfaction

  12. Understanding move preferences • Place attachments/Place dependence • Relationships with place • Family/social networks (Manzo, 2003; Fried, 2000; Charles, 2005; Dawkins, 2006; Kleit, 2007; Stokols & Schumacher, 1981; Pretty, Chipuer, & Bramston, 2003 ) • Reliance on services • Community ties

  13. Understanding move preferences • Perceived constraints on options • Housing availability • Personal finances • LL Discrimination • Knowledge of rules (Charles, 2005; Popkin & Cunningham, 2000)

  14. Understanding move preferences • Explains choice to remain despite “better” options w/ a voucher • Explains choices to remain despite dissatisfaction with NH • Are voucher holders dissatisfied with their neighborhoods?

  15. Understanding move preferences • MTO/HOPE VI does suggest neighborhood dissatisfaction • Relocating from from highest poverty public housing • MTO avg. poverty rate > 50% in 1990 • HOPE VI avg. > 40% • High poverty rates expected to reflect physical distress (Smith et al., 2002; Popkin & Cunningham, 2000; Clampet-Lundquist, 2004)

  16. Understanding neighborhood decisions • Typical HCV context somewhat different • Poor in MSAs avg. approx 20% • HCV average approx. 20% • Little research on quality of life in moderate poverty areas • Exiting history of poverty, instability may influence perceptions (DeLuca & Rosenblatt, 2010; Briggs et al., 2010; Teske et al., 2007) • Do assumptions hold for “typical” HCV mover?

  17. Survey constructs Basic move preference • New unit, neighborhood? • Prioritize “mobility”? • (3) Perceived alternatives • Housing availability • Personal finances • LL Discrimination • Knowledge of rules • (1) Place attachment/ (2) Place dependence • Reliance on services • Social network • Community ties (4) Neighborhood satisfaction

  18. Overview • Background and policy context • Methods and theoretical framework • Results • Implications for policy and research • Questions and comments

  19. Highly mobile, but without improvements • 73% of successful moved (60% of full sample) • More likely to live in a low-opportunity neighborhood • More concentrated into fewer neighborhoods

  20. Most remained in similar areas • Most common outcome was no change • “Unsuccessful” in higher-quality areas • About 1/3 saw improvements

  21. Moves mirrored basic preferences N=243 • 75% wanted a new unit; 57% also open to a new neighborhood • “Mobility” not the main goal • Actual moves mirrored basic preferences

  22. Place attachments did not appear binding How many friends/family live in your neighborhood (but not with you)?

  23. Place attachments did not appear binding No significant relationship with place attachment measures • Social network size • Sense of community • Knowing neighbors • Length of time in unit, neighborhood

  24. Dependence important, but in unexpected ways As expected: • Service-dependent more likely to prefer to remain in pre-program housing unit & neighborhood, and do so (p<1%) • But only 18% of full sample dependent on services

  25. Dependence important, but in unexpected ways • Housing-dependent more likely to prefer to move to new units and neighborhoods, and to do so (p.<1%)

  26. Perceptions did not appear constrained Neutral to positive perceptions, as opposed to constrained

  27. Most were satisfied with pre-program areas • Average satisfaction score high (4.6 of 7; cronbach .72) • Satisfaction not correlated with neighborhood quality measures

  28. Preferences & outcomes vary by satisfaction **=p. <.05; ***=p.<.01

  29. Results • Assumptions of move behavior appear to hold: • Most wanted new units • Dependent households less likely to want to move or actually move • Neighborhood satisfaction important to preferences and outcomes

  30. Results Assumptions of move preferences do not: • Place dependence/attachment not the norm • Dissatisfaction not the norm • Neighborhood quality was a poor predictor of preferences/outcomes or satisfaction • Passive “mobility” expectations may be unrealistic

  31. Overview • Background and policy context • Methods and theoretical framework • Results • Implications for policy and research • Questions and comments

  32. Policy implications • Focus on households in highest poverty areas • Direction for counseling & mobility services • Passive counseling programs may not be effective • Self-selecting, information-based services may not be effective • More intensive counseling may be needed • Shift focus onto perceptions and expectations of neighborhoods • Longer relationship with voucher holders

  33. Directions for research • Which models work to talk about “mobility” goals? • What types of communication, information resonate? • How do poor HHs experience & perceive neighborhoods? • What about the income effects of vouchers? • Housing and financial stability • Decreased stress, improved mental health • Income for non-housing spending

  34. Thanks • HUD/DDRG • Seattle Housing Authority • Poverty & Race Research Action Council

  35. Overview • Background and policy context • Methods and theoretical framework • Results • Implications for policy and research • Questions and comments

  36. Atlanta waitlist opening 2010

More Related