Objective: To assess the impact of non-pharmaceutical interventions (NPIs) on the first wave of COVID transmission and fatalities in India.
Methods: We collected data on NPIs, using government notifications and news reports, in six major Indian states from March to August 2020, and we matched these with district-level data on COVID related deaths and Google Mobility reports. We used a district fixed effect regression approach to measure the extent to which district-level lockdowns and mobility restrictions helped reduce deaths in 2020.
Replication code and data for Kalra & Novodad (2021) "Impacts of regional lockdown policies on COVID-19 transmission in India in 2020".
Details
To regenerate the tables and figures from the paper, take the following steps:
- Clone this repo
- `clean_data` contains data on mobility and infections
- `clean_data/<state_name>.xlsx` contains data on lockdown restrictions for sample states
- Open the do file
make_npi.do. and set the globalsnpipath,npicode/a, andtmp
- `$npipath` is the path name for clean data files in the cloned repository
- `$npicode/a` is the target forlder for all outputs, such as tables and graphs
- intermeditae files will be placed in `$tmp`
- Run the do file
make_npi.do. This will run through all the other do files to regenerate the results.