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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: Am Econ Rev. 2020 Nov;110(11):3602–3033. doi: 10.1257/aer.20181026

Table 2—

Concise Mortality Difference-in-Differences Estimates

2004 cohort 1999 cohort
(1) (2) (3) (4) (5) (6)
2005 × New Orleans 0.56 (0.16) 0.55 (0.16) 0.56 (0.16) 0.91 (0.18) 0.91 (0.19) 1.00 (0.15)
(2006–2013) × New Orleans −0.48 (0.12) −0.49 (0.14) −0.36 (0.11) −0.49 (0.14) −0.48 (0.17) −0.23 (0.09)
Included controls A B C A B C
Dependent variable mean Observations 5.55
7,987,100
5.55
7,987,100
5.55
7,986,926
6.31
10,470,949
6.31
10,470,949
6.31
10,470,692

Notes: The table reports difference-in-differences estimates of equation (4) based on the 2004 cohort (columns 1–3) and the 1999 cohort (columns 4–6). The dependent variable is a mortality indicator equal to 0 if a beneficiary was alive during the entire calendar year and is equal to 1 if the beneficiary died in a given year. Coefficients, standard errors (in parentheses), and the dependent variable mean have been scaled by 100. Controls are as follows: A includes baseline zip code and year fixed effects; B also includes fixed effects for each age (one-year bins), race, and sex combination. C additionally controls for age-race-sex effects by year. Standard errors are clustered by beneficiary baseline zip code.