Table A2.
Hazard Ratios and Standard Errors from Complementary Log-log Models Predicting Transition to Another Renter Spell among HCV Eligible Renters
| Unadjusted model |
Model 1 |
Model 2 |
Model 3 |
|||||
|---|---|---|---|---|---|---|---|---|
| Hazard Ratio | SE | Hazard Ratio | SE | Hazard Ratio | SE | Hazard Ratio | SE | |
| Household income-to-needs ratio (ref = > 1.5) | ||||||||
| < .5 | 1.33*** | .07 | 1.17** | .06 | 1.18** | .07 | 1.22*** | .07 |
| .5–1.0 | 1.24*** | .07 | 1.25*** | .07 | 1.25*** | .07 | 1.19** | .06 |
| 1.0–1.5 | 1.19** | .06 | 1.23*** | .07 | 1.23*** | .07 | 1.17** | .06 |
| Declines in income-to-needs ratio by 25%+ | 1.34*** | .11 | 1.27** | .11 | ||||
| Interhousehold change | 1.50** | .19 | ||||||
| Intrahousehold change | 1.04 | .17 | ||||||
| Race (ref = White) | ||||||||
| Black | 0.91 | .05 | 0.91 | .05 | 0.90* | .05 | ||
| Hispanic | 0.78*** | .04 | 0.78*** | .04 | 0.72*** | .04 | ||
| Other | 1.20** | .08 | 1.20** | .08 | 1.15* | 1.15 | ||
| Gender (ref = Male) | 1.02 | .04 | 1.02 | .04 | 1.00 | .04 | ||
| Age (ref = < 35) | ||||||||
| 35–55 | 0.72*** | .03 | 0.72*** | .03 | 0.74*** | |||
| 55 < | 0.38*** | .03 | 0.38*** | .03 | 0.44*** | |||
| Education (ref = less than high school) | ||||||||
| High School Graduate | 1.06 | .05 | 1.06 | .05 | 1.10* | .05 | ||
| Some college | 1.10 | .06 | 1.09 | .06 | 1.17** | .06 | ||
| Bachelor or higher | 1.08 | .08 | 1.08 | .08 | 1.20** | .08 | ||
| Household type (ref = Living alone) | ||||||||
| Couples | 0.86* | .06 | 0.85* | .06 | ||||
| Nuclear families | 0.62*** | .04 | 0.61*** | .04 | ||||
| Single-parent families | 0.80*** | .05 | 0.80*** | .05 | ||||
| Other-families | 0.68*** | .04 | 0.68*** | .04 | ||||
| Nonfamily | 0.80** | .06 | 0.79*** | .06 | ||||
| Region of residence (ref = Northeast) | ||||||||
| Midwest | 1.58*** | .12 | 1.58*** | .12 | 1.59*** | .12 | ||
| South | 1.46*** | .10 | 1.46*** | .10 | 1.47*** | .10 | ||
| West | 1.31*** | .10 | 1.31*** | .10 | 1.29** | .10 | ||
| Residing in metropolitan area | 1.05 | .05 | 1.05 | .05 | 1.04 | .05 | ||
| Time | 0.98*** | .00 | 0.99*** | .00 | 0.99*** | .00 | 0.99*** | .00 |
| Time * Time | 1.00*** | .00 | 1.00*** | .00 | 1.00*** | .00 | 1.00*** | .00 |
| Time * Time * Time | 1.00*** | .00 | 1.00*** | .00 | 1.00*** | .00 | 1.00*** | .00 |
| Person-months | 186,050 | 186,050 | 186,050 | 186,050 | ||||
Note 1.—I have constructed the outcome variable of residential move from a monthly record of uniquely identifiable residential addresses. All the values of residential move from the first month of each residence spell up until one month before the last month of each spell were coded as 0. Residence spells not terminated by the end of observation period are right-censored and coded as 0. Transitioning to homeownership is a competing risk to moving to another renter spell while maintaining eligibility status for the HCV program, meaning it prevents households from experiencing the event of interest in this study by losing an eligibility status. I have recoded the last month of a residence spell that ends with moving to a homeowner spell as zero so it will be right-censored; monthly records in those spells contribute to the analysis up until one month before the last month of a renter spell (following Jenkins, 2005; Allison, 2010).
Note 2.—About half of residence spells are left-truncated, meaning risk onset (start of each residence spell) precedes an observation period, so I have calculated elapsed time after risk onset when they entered into an observation period (here I follow Guo, 1993; Jenkins, 2005). In modeling the dependence of hazard of residential move on time, I have used a cubic function for elapsed months to maximize model fit (following Singer & Willett, 2003; Carter & Signorino, 2010). I have run all the analytic models using monthly weights for each person-month record to account for sample attrition (following Hill, 1997). SE = standard error, ref = reference group
p<0.001
p<0.01
p<0.05