Replication data for: What is the Active Prevalence of COVID-19?

What is the Active Prevalence of COVID-19? By Mu-Jeung Yang, Marinho Bertanha, Nathan Seegert, Maclean Gaulin, Adam Looney, Brian Orleans, Andrew T. Pavia, Kristina Stratford, Matthew Samore, Steven Alder Code repository to recreate the figures and tables in “What is the Active Prevalence of COVID-19?”, Review of Economics and Statistics, 2023 Data • Our primary data on COVID-19 positivity rates and case counts are publicly available from covidtracking.com • Population data for Utah is publicly available from the Census Bureau. • Our testing data used to calibrate our model contains sensitive private information, and is thus not available for distribution. However, researchers interested in replicating this part of the analysis can apply with an email to [e-mail], for an anonymized and randomized subsample that replicates our main results. Decisions about data sharing will be made on a case-by-case basis. Instructions Code can generally be run in numerical order presented in filenames. All but one are stata files, run using Stata 17 (but should be generally compatible with other versions): 1. 1.0_load_data.do is run by other files, not individually. 2. 1.1_cache-load_lasso_data.do is used to create the dataset for lasso regressions, which use interactions. This file makes those interaction variables, and names them appropriately to be used in loops and with Stata’s * notation. 3. 2.1_cache_bootstrap_results.do caches the CIs from our SE bootstrap procedure, because it takes a long time to run. Caches bootstrap results to ./output/bootstrap/. 4. 3.0_table_1.do creates summary statistics and tex variables to be used in the paper. 5. 3.1_table_2.do creates table 2, which uses bootstrap SEs, so 2.1_cache_bootstrap_results.do should have been run first. Also saves off data to a temporary file for use in making figures below. 6. 3.2_table_3.do makes the state estimates in table 3. 7. 4.0_figure_1.ipynb uses python to generate Figure 1. 8. 4.1_figure_2.do makes both panels of figure 2, using the cached file from 3.1_table_2.do. 9. 5.0_appendix_c_table_1.do makes Table 1 in Appendix C. 10. 5.1_appendix_c_table_2.do makes Table 2 in Appendix C. 11. 6.0_appendix_b_figure_3.do makes figure 3 in Appendix B. To run, extract this repo to ~/Desktop/RESTAT_CODE and execute the files in Stata or Python as per above.