R code and dataset to "Monetizing Spillover Effects in the Creative Industries: the Impact of Live Music Performances on Youtube Searches"

Content:

1. The script main_script.R includes code to run a regression discontinuity (RD) design and validation and falsification of estimated results
2. The folder data contains two files:
   1. bands_2016_2019.csv: a dataset of performers with additional information for each one.
   2. festivals_2016_2019.csv: a dataset of video search activity (as retrieved from Google Trends) for performers in file bands_2016_2019.csv
3. The folder source contains two additional  R scripts:
   1. data_preparation.R: generates the long dataset used to estimate RD effects
   2. status_simulation.R: randomly assigns treattment status to performers and estimates RD effects.  Note this may take a long time to run. Parallel code is used: the number of cores has been set to 4. 
4. The folder simulation_results contains simulated data after running the script status_simulation.R.