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. Author manuscript; available in PMC: 2016 Jul 5.
Published in final edited form as: Am Econ J Econ Policy. 2015 Feb;7(1):63–94. doi: 10.1257/pol.20120325

Table 6.

Effects of Foreclosures by High and Low Minority, and Low, Medium, and High Income Zip Code

Non-Elective Preventable Cancer Heart Mental Respiratory Infection
Zip Codes with >70% African-American or Hispanic Residents, N= 4,365, Mean Population= 30,840

Sum of 4 Lags Foreclosure 1.2590 0.1575 0.0062 0.0745 0.0769 0.2087
P value for sum=0 0.2533 0.0934 0.3852 0.5214 0.0928 0.5302
# Visits per 100k per Year 45338 4566 344 3494 2015 6884

Zip Codes with <10% African-American or Hispanic Residents, N=15,075, Mean Population=11,359

Sum of 4 Lags Foreclosure 1.1770 0.1124 0.0042 0.0729 0.0529 0.3732
P value for sum=0 0.0000 0.0000 0.3712 0.0000 0.0501 0.0000
# Visits per 100k per Year 42999 3773 362 4077 1786 5067

Zip Codes in the Lowest Quartile of Income, 2000 Census, N=11,445, Mean Population=20,148

Sum of 4 Lags Foreclosure 0.8779 0.0895 0.0039 0.0601 0.0316 0.2725
P value for sum=0 0.1753 0.1012 0.3263 0.2464 0.0134 0.1446
# Visits per 100k per Year 49218 4711 334 3894 1905 7215

Zip Codes in the Highest Quartile of Income, 2000 Census, N=11,670, Mean Population=18,580

Sum of 4 Lags Foreclosure 1.2560 0.1023 0.0036 0.0950 0.0782 0.3096
P value for sum=0 0.0000 0.0000 0.5932 0.0000 0.0000 0.0004
# Visits per 100k per Year 32921 2773 313 3187 1573 3560

Notes: Regressions of hospitalization plus ER rates on foreclosure rates included zip code fixed, effects, county*quarter*yea 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.