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. Author manuscript; available in PMC: 2019 Feb 1.
Published in final edited form as: Q J Econ. 2017 Aug 2;133(1):407–455. doi: 10.1093/qje/qjx029

Table V.

All Male Sample, Veterans vs. Non-Veterans

(1) (2) (3) (4)

Outcome Number
Outpatient
Visits
Any
Outpatient
Visit
Any Hospital
Admission
Number
Nights in
Hospital
Pj*postt *blackr*nonvetg −1.161*** (0.347) −0.040*** (0.009) −0.027*** (0.007) −0.417 (0.312)
Pj*postt*nonvetg 0.146** (0.072) 0.004 (0.005) 0.002 (0.003) 0.051 (0.056)
Pj*postt*blackr −0.592*** (0.179) −0.024** (0.011) −0.012 (0.010) 0.280 (0.247)
Fixed Effects State-Year, Race-Non-Veteran-Year, Race-Non-Veteran-State
Observations 135,635 135,635 135,635 135,635
No. Clusters 49 49 49 49
R-squared 0.020 0.023 0.016 0.014

Notes: OLS estimates of equation (2) testing differences between “experienced” (veteran) and “less experienced” (non-veteran) males in response to the disclosure of the Tuskegee study. Utilization data are from the harmonized version of the National Health Interview Survey (NHIS) available from IPUMS and merged with restricted identifiers for use in the Restricted Data Center (RDC) and cover the period 1969–1977. Post is an indicator variable equal to 1 in the years following 1972. The unit of observation is the individual, and the sample includes non-veteran and veteran black and white men ages 45–74. The outcome varies across columns and is given by the column heading. In addition to the listed fixed effects and controls in the table, individual-level controls in every specification for utilization include indicator variables for educational status, income, age, marital status, telephone ownership, and rural/urban status. Standard errors are clustered at the state level.

***

p<0.01,

**

p<0.05 and

*

p<0.10, respectively.