Table 3.
Effects of Foreclosures by Zip Code
| Non-Elective | Preventable | Cancer | Heart | Mental | Respiratory Infection | |
|---|---|---|---|---|---|---|
| Zip Code Level, N=56,088, Mean Population in a Zip Code=19,750 | ||||||
|
| ||||||
| Foreclosure Rates (t-1) | 1.4996*** (0.1378) |
0.1347*** (0.0137) |
0.0064*** (0.0017) |
0.1136*** (0.0118) |
0.0651*** (0.0076) |
0.2252*** (0.0539) |
| Number Visits per 100k per Quarter | 10580 | 972 | 85 | 935 | 438 | 1385 |
|
| ||||||
| Model with Four Lags, N=46,740 | ||||||
|
| ||||||
| Foreclosures Rates (t-1) | 0.6309*** (0.1910) |
0.0714*** (0.0097) |
−0.0002 (0.0027) |
0.0459*** (0.0168) |
0.0293*** (0.0082) |
0.0932** (0.0441) |
| Foreclosures Rates (t-2) | 0.5200*** (0.1393) |
0.0637*** (0.0085) |
0.0066 (0.0080) |
0.0387*** (0.0084) |
0.0027 (0.0079) |
0.2062*** (0.0621) |
| Foreclosures Rates (t-3) | 0.0340 (0.1609) |
−0.0180** (0.0082) |
−0.0034*** (0.0012) |
0.0005 (0.0059) |
0.0139*** (0.0048) |
−0.0846 (0.0679) |
| Foreclosures Rates (t-4) | −0.4019 (0.5145) |
−0.0265 (0.0257) |
0.0004 (0.0052) |
0.0059 (0.0104) |
0.0135** (0.0058) |
−0.1935 (0.2188) |
| Sum of lags | 0.7830 | 0.0906 | 0.0034 | 0.0909 | 0.0594 | 0.0213 |
| P value for all lags=0 | 0.0826 | 0.0009 | 0.3332 | 0.0000 | 0.0000 | 0.9224 |
| # Visits per 100k per Year | 42817 | 3911 | 334 | 3764 | 1794 | 5581 |
Notes: Regressions of hospitalization plus ER rates on foreclosure rates also included zip code fixed, effects, county*quarter*year effects and time trends for clusters of zip codes. Standard errors in parentheses. ***, **, and * indicate that the estimate is statistically significant at the 99th, 95th, and 90th percent level of confidence. Bold face indicates that the sum of lags is significantly different than zero.