Table 1 Baseline model’s estimated coefficients (Eq. 2).

Outcome: sold mask n. per household	All stores		Higher college graduation rate areas		Lower collage graduation rate areas
Treatment threshold	1%	3%	1%	3%	1%
Treated (mask map use)	− 2.079***	− 2.151***	− 0.744*	− 0.861***	− 0.475
Treated (mask map use)	(0.448)	(0.337)	(0.354)	(0.264)	(1.648)
Mobility trend score	− 0.155	− 0.011	− 0.086	− 0.011	11.117***
Mobility trend score	(0.412)	(0.419)	(0.070)	(0.078)	(0.115)
Close stores’ mask dispersion	− 0.091	− 0.163**	− 0.032*	− 0.067**	− 0.166*
Close stores’ mask dispersion	(0.057)	(0.066)	(0.024)	(0.030)	(0.086)
Max mask stock level	1.515***	1.515***	0.818***	0.810***	2.185***
Max mask stock level	(0.190)	(0.192)	(0.123)	(0.124)	(0.273)
New Covid-19 case	0.256**	0.230***	0.102***	0.078	0.421***
New Covid-19 case	(0.056)	(0.069)	(0.032)	(0.045)	(0.066)
New Covid-19 case on previous day	0.071**	0.057*	0.033***	0.020	0.122***
New Covid-19 case on previous day	(0.027)	(0.029)	(0.014)	(0.018)	(0.027)
Date fixed effects	Yes	Yes	Yes	Yes	Yes
Adjusted \(R^2\)	0.752	0.743	0.796	0.793	0.755
Number of obs.	33,160	33,160	17,220	17,220	15,940
Number of areas	55	55	41	41	14

Each column in the table represents separate DiD regression. All stores are included in the analysis in Columns 1–2. The stores only in higher college graduate rate areas are included in Columns 3–4. The stores only in lower college graduate percentage areas are included in Column 5. In this study, “higher college graduation rate areas” is defined as having a college graduation rate higher than the third quartile of all areas’ college graduation rates; otherwise, “lower college graduation areas.” The outcome variable is the daily number of sold mask numbers per household. All models present standard errors clustered at the area level. The treatment threshold designates the percentage of users in the sample who actually used the open-data mask map. Treatment dummy thresholds have been changed to 1% and 3% for robust tests (see the “Methods” section for more information on the thresholds).). \(^{***}\) \(p<0.01\), \(^{**}\) \(p<0.05\), \(^{*}\) \(p<0.1\).

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