Table 5.

SES differences in workplace COVID-19 infection risk across healthcare institutions.

Dependent Variable:	COVID-19 positive		COVID-19 positive, if tested = 1		Tested for COVID-19
	(1)	(2)	(3)	(4)	(5)	(6)
Low-SES $\times$ Contact at Work $\times$ Hospital	0.062***	0.068***	0.030*	0.044*	0.012	0.011
	(0.011)	(0.013)	(0.016)	(0.023)	(0.017)	(0.016)
Low-SES $\times$ Contact at Work $\times$ Non-hospital	0.155***	0.151**	0.137***	0.120**	0.022	0.031
	(0.051)	(0.054)	(0.043)	(0.050)	(0.051)	(0.048)
Workplace ZIP code FEs	Yes	Yes	Yes	Yes	Yes	Yes
Demographic controls	No	Yes	No	Yes	No	Yes
Restricted sample to tested workers			Yes	Yes
R2	0.150	0.200	0.055	0.197	0.393	0.430
# Clusters	16	16	16	16	16	16
# Observations	4,250	4,250	1,587	1,587	4,250	4,250
Mean Dependent Var.	0.10	0.10	0.27	0.27	0.37	0.37

Notes: This table reports the results of the OLS regression of a binary variable equal to 1 if and only if the person is tested and positive (columns 1 to 4), or if and only if the person is tested (columns 5 and 6). In columns 3 and 4, the sample is restricted to nurses who were tested. Nurses are partitioned into two categories: Low- or Mid-/High-SES. The omitted reference group is Mid/High-SES nurses. “Contact at Work” is a binary variable equal to 1 if and only if the person was in contact with an infected person at work (patient or coworker). “Demographic controls” are indicator variables for age, sex, and ZIP code of residency. All models include double-interactions between Low-SES, hospital and non-hospital dummies as well as the direct effect of Contact at Work. Observations are clustered at the workplace ZIP code level. ***, **, * denote significance at the 1%, 5%, and 10% level.