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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

Appendix Table 2.

Correlation Between Change in Predicted Visit Rates and Change in Foreclosures

VARIABLES Change in
Non-
Elective
Change in
Preventable
Change in
Cancer
Change in
Heart
Change in
Mental
Health
Change in
Respiratory
Infection
Change in Foreclosure −0.0258
(0.0199)
−0.0029
(0.0023)
−0.0004*
(0.0002)
−0.0043*
(0.0024)
−0.0006
(0.0009)
−0.0025
(0.0030)
Observations 3,091 3,091 3,091 3,091 3,091 3,091

Notes: These estimates were derived in three steps. In the first step, hospitalization rates in 2005 were regressed on the demographic characteristics of the zipcode in 2005 (measured by taking averages of the 2000 and 2010 characteristics in the respective Censuses). In the second step, coefficient estimates from the first step were used to predict the hospitalization rate in each zipcode in 2010 and 2005, using demographic information from 2010 or from the average of the Censuses. The change in predicted hospitalization rates was then calculated as the difference between the 2010 and the 2005 predicted rates. In the third step, the change in the predicted hospitalization rate is regressed on the change in foreclosures between 2009 and 2005. The demographic variables included were %black, white, hispanic; %20–49, 50–64, 65+; and %dropout, highschool, some college, and college. See text for further details. Notes: Standard errors in parentheses. ***, **, and * indicate that the estimate is statistically significant at the 99th, 95th,