README
The following data and the code instruction are for the paper:
Yan, Y., Bayham, J., Richter, A. et al. Risk compensation and face mask mandates during the COVID-19 pandemic. Sci Rep 11, 3174 (2021). https://doi.org/10.1038/s41598-021-82574-w
- We use both public datasets and purchased datasets for this research. The step-by-step data importing and cleaning steps are shown in the files:
FM_import.do
(Data import file.)
FM_clean.do
(Data cleaning file.)
The data we use include:
(a) New York Times Case Reports
https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-counties.csv
(b) Safegraph’s dwell time data at the county-level
(c) Safegraph’s point of interest visits by county
(d) County-level weather data
(e)County-level policies
https://ce.naco.org/?dset=COVID-19&ind=Emergency%20Declaration%20Types
And
https://docs.google.com/spreadsheets/d/133Lry-k80-BfdPXhlS0VHsLEUQh5_UutqAt7czZd7ek/edit#gid=0
(f)School closure data from MCH
(g)State-level policy
https://docs.google.com/spreadsheets/d/1zu9qEWI8PsOI_i8nI_S29HDGHlIp2lfVMsGxpQ5tvAQ/edit#gid=973655443
The cleaned dataset is named “FM_data_final.dta”. We only upload the cleaned dataset in google drive used in this study (please contact us for the google drive link). If you are interested in any intermediate datasets:
(a) the links updated on 9/1/2020 for public datasets.
(b) contact us for Safegraph datasets’ information.
- You can run the master file FM_master.do, which includes 5 separate do files in the analysis:
(a) main mask-mandate policy effects for public and business mandates to the dwell time at home. (FM_main_reg.do)
(b) dynamic analysis for the pre/post-policy. (FM_dynamic.do)
(c) mask-mandate policy effects for public and business mandates to the points of interest visitation. (FM_POI.do)
(d) possible spillover effect analysis from the neighboring counties’ mask mandates (FM_spillover.do)
(e) examine of the fatigue from the stay-at-home policy without mask mandate as robustness checks. (FM_fatigue.do)
-
To start, change the mainpath directory to your local folder. In FM_import.do, the list of folders will be created under the mainpath for figures and table results.
-
For figures, run data_plot.R.
(a) The data-plotting datasets are derived from the original datasets and the regression coefficients. To save your time, please download plot.zip to get access to the cleaned datasets directly.
(b) Please change the figpath at the beginning of data_plot.R before proceeding.