Replication data for the working paper "The Illusive Slump of Disruptive Patents", published as "Is there a secular decline in disruptive patents? Correcting for measurement bias" in the journal Research Policy

To access the updated repository for the Research Policy article "Is there a secular decline in disruptive patents? Correcting for measurementbias", please click here. Authors: Jeffrey T. Macher, Christian Rutzer, and Rolf Weder The repository contains replication data and scripts for the paper titled "The Illusive Slump of Disruptive Patents" (https://arxiv.org/abs/2306.10774). The core component of the repository is the file `replication_file.R` which is an R script to replicate all figures and tables in the paper. The script relies on multiple data files, all of which are stored in the `final_data` directory. The datasets contain values for granted USPTO utility patents for the years 1976-2016. Dataset Descriptions Main Datasets: 1. `dat_no_trunc`: This dataset contains the CD index of patents based on a method without truncation. Available in two formats, `.fst` and `.csv`. 2. `dat_cd_trunc_1975`: This dataset contains the CD index of patents based on a truncation method as in Park et al. (Nature, 2023). Available in two formats, `.fst` and `.csv`. 3. `dat_no_trunc_app_adj`: This dataset contains the CD index of patents based on a method without truncation and including citations to patent applications granted by 2021. Available in two formats, `.fst` and `.csv`. 4. `dat_no_trunc_app`: This dataset contains the CD index of patents based on a method without truncation and including citations to patent applications granted by 2021, as well as those not yet granted. Available in two formats, `.fst` and `.csv`. Additional Datasets: 5. `share_untrunc_cit`: This dataset is loaded by the script when illustrating the No Truncation method. 6. share_trunc_cit: This dataset is used when using the truncation method as in Park et al. (Nature, 2023). 7. `age_bwc_untrunc`: This dataset contains the age of backward citations using untruncated data. 8. age_bwc_trunc: This dataset contains the age of backward citations using the tuncation methods as in Park et al. (Nature, 2023). 9. `age_bwc_untrunc_app_adj`: This dataset contains the age of backward citations using untruncated data and considering citations of patent applications granted until 2021. To successfully run the script `replication_file.R`, make sure all data files are in the directory and the `mainDir1` variable at the beginning of the script is set to the correct path. For questions, please contact [e-mail]