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. 2022 Nov 15;48:101195. doi: 10.1016/j.ehb.2022.101195

Table 3.

Mobility, mask mandates, cases and deaths: compliance.

Visits
Home Time
PlaceIQ
Cuebiq
Visits
Home Time
PlaceIQ
Cuebiq
Cases Deaths
Lag Mobility 0.15 –0.20*** 0.06 0.14*** 0.13 –0.16*** 0.01 −0.00
(0.09) (0.08) (0.04) (0.05) (0.09) (0.03) (0.03) (0.06)
Mask Mandate –0.05* –0.05* –0.07** –0.06* −0.06 –0.06 –0.08* –0.08*
(0.03) (0.03) (0.03) (0.03) (0.05) (0.05) (0.05) (0.04)
Mask Mandate
× Compliance
−0.02 –0.03 −0.04 –0.08** –0.17*** –0.17*** –0.19*** –0.20***
(0.04) (0.04) (0.04) (0.04) (0.04) (0.03) (0.03) (0.03)
Adj. R-squared. 0.77 0.77 0.77 0.76 0.59 0.60 0.59 0.61
Obs 12 110 12 110 12 110 11 637 11 046 11 046 11 046 10 759
State FE Yes Yes Yes Yes Yes Yes Yes Yes
Date FE Yes Yes Yes Yes Yes Yes Yes Yes
Pop. weights Yes Yes Yes Yes Yes Yes Yes Yes

Notes: Estimation equation (4): lnln(Yit)ln(Yi,t7)=αi+τt+βLx.M¯it+ηLx.F¯it+λLx.F¯it×Ci+ρLx.X¯it+γL7.lnln(Yit)ln(Yi,t7)+ɛit, where Yit denotes Covid-19 cases/deaths in state i at date t, measured in days. αi and τt denote state fixed effects and time fixed effects, respectively. M¯it denotes mobility, and L is the lag operator. The mobility measures for the case (death) regressions are averaged over 21 (35) days and lagged 7 (14) days. All mobility measures are standardized for easier interpretation of the coefficients. F¯it measures whether a face mask mandate is in place during the time period when mobility is measured. The timing of the mask mandate as well as that of the temperature and the local mobility restrictions controls in X¯it match the corresponding mobility averaging and lag structure. Ci denotes mask wearing compliance as measured in the survey data described in Appendix A. Regressions are weighted by state population and use Driscoll–Kraay standard errors. The sample includes all available observations between March 15, 2020 and November 15, 2020. Not all control variables are reported in the table.