Table 3.
Logistic Regression for Good Health on Homeownership among the Total Sample, Presented as Marginal Effects and (t-statistics).
| Variables | Model 1 | Model 2 | Model 3 | Model 4 |
|---|---|---|---|---|
| Owner (ref = Renter) | 0.025*** (7.19) | 0.031*** (7.66) | ||
| Black (ref = White) | −0.030*** (−7.88) | −0.028*** (−7.13) | ||
| Latino (ref = White) | −0.004 (−0.91) | −0.011* (−2.19) | ||
| Asian (ref = White) | −0.019* (−2.55) | −0.025*** (−3.32) | ||
| White Owner (ref = White Renter) | −0.022** (−3.27) | −0.022** (−3.27) | ||
| Black Owner (ref = White Renter) | 0.012 (1.80) | 0.003 (0.35) | ||
| Latino Owner (ref = White Renter) | −0.007 (−0.54) | −0.014 (−1.10) | ||
| Asian Owner (ref = White Renter) | 0.033*** (7.77) | 0.037*** (8.03) | ||
| Black Renter (ref = White Renter) | −0.008 (−1.18) | 0.001 (0.08) | ||
| Latino Renter (ref = White Renter) | 0.016* (2.43) | 0.014 (1.95) | ||
| Asian Renter (ref = White Renter) | 0.007 (0.69) | 0.004 (0.37) | ||
| Moved Last Yr. (1 = yes) | 0.012* (2.43) | 0.012* (2.44) | ||
| Mobile Home (ref = House) | −0.045*** (−7.53) | −0.044*** (−7.46) | ||
| Duplex (ref = House) | −0.009 (−1.49) | −0.009 (−1.49) | ||
| Multi-Family (ref = House) | 0.003 (0.61) | 0.003 (0.54) | ||
| Apt/Condo (ref = House) | −0.009 (−1.84) | −0.009 (−1.92) | ||
| Age | −0.001*** (−8.79) | −0.001*** (−9.77) | −0.001*** (−8.86) | −0.001*** (−9.82) |
| Female (ref = Male) | 0.010*** (3.54) | 0.009** (3.28) | 0.010*** (3.52) | 0.009** (3.27) |
| Never Married (ref = Married) | −0.000 (−0.03) | −0.004 (−0.78) | −0.000 (−0.03) | −0.003 (−0.74) |
| Separated (ref = Married) | −0.047*** (−6.63) | −0.045*** (−6.45) | −0.047*** (−6.65) | −0.045*** (−6.45) |
| Divorced (ref = Married) | −0.041*** (−9.90) | −0.039*** (−9.43) | −0.040*** (−9.60) | −0.038*** (−9.17) |
| Widowed (ref = Married) | −0.003 (−0.65) | −0.003 (−0.66) | −0.002 (−0.46) | −0.002 (−0.48) |
| Number of Adults | −0.011*** (−6.14) | −0.011*** (−6.54) | −0.010*** (−5.90) | −0.011*** (−6.33) |
| Number of Children | 0.008*** (4.51) | 0.008*** (4.50) | 0.008*** (4.43) | 0.008*** (4.44) |
| Children under 5 (1 = yes) | 0.039*** (6.80) | 0.038*** (6.78) | 0.039*** (6.78) | 0.038*** (6.76) |
| Imm< 5 Yrs (ref = Native Born) | 0.053*** (4.17) | 0.047*** (3.72) | 0.049*** (3.84) | 0.043*** (3.41) |
| Imm< 10 Yrs (ref = Native Born) | 0.051*** (3.93) | 0.046*** (3.58) | 0.048*** (3.68) | 0.043*** (3.36) |
| Imm< 15 Yrs (ref = Native Born) | 0.028** (2.96) | 0.021* (2.30) | 0.026** (2.74) | 0.020* (2.12) |
| Imm< 20 Yrs (ref = Native Born) | 0.018 (1.65) | 0.012 (1.08) | 0.018 (1.62) | 0.012 (1.08) |
| Imm> 20 Yrs (ref = Native Born) | 0.011* (2.11) | 0.003 (0.65) | 0.012* (2.24) | 0.004 (0.83) |
| Less than HS (ref = HS/GED) | −0.035*** (−8.81) | −0.030*** (−7.75) | −0.035*** (−8.80) | −0.030*** (−7.76) |
| Some College (ref = HS/GED) | 0.019*** (4.87) | 0.016*** (4.19) | 0.019*** (4.93) | 0.016*** (4.22) |
| Associate’s (ref = HS/GED) | 0.016** (3.11) | 0.012* (2.39) | 0.016** (3.17) | 0.012* (2.43) |
| Bachelor’s + (ref = HS/GED) | 0.060*** (15.14) | 0.051*** (12.96) | 0.060*** (15.17) | 0.052*** (12.99) |
| Unemployed | −0.025*** (−3.63) | −0.024*** (−3.65) | −0.025*** (−3.68) | −0.025*** (−3.68) |
| Not in Labor Force | −0.122*** (−34.47) | −0.119*** (−33.95) | −0.122*** (−34.48) | −0.119*** (−33.97) |
| log(HH Income) | 0.006*** (7.05) | 0.005*** (6.54) | 0.006*** (7.10) | 0.005*** (6.59) |
| Private Insurance (ref = uninsured) | 0.055*** (17.96) | 0.052*** (17.12) | 0.055*** (17.85) | 0.052*** (17.05) |
| Public Insurance (ref = uninsured) | −0.059*** (−16.10) | −0.058*** (−16.02) | −0.060*** (−16.22) | −0.059*** (−16.12) |
| Area F.E. | No | Yes | No | Yes |
| Observations | 71,874 | 71,874 | 71,874 | 71,874 |
| BIC | −7,123 | −4,093 | −7,108 | −4,073 |
Notes: Robust t-statistics in parentheses. Reference categories for binary variables indicated after variable names. BIC’ indicates the model fit relative to the null model; more negative numbers indicate better model fit.
***
p < 0.001,
**
< 0.01, and
*
p < 0.05 (two-tailed test)