Replication Data for The Illusive Slump of Disruptive Patents
Authors/Creators
- 1. University of Basel
- 2. Georgetown University
Description
Replication Data for "The Illusive Slump of Disruptive Patents"
Authors: Christian Rutzer, Jeffrey T. Macher, 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. 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 christian.rutzer@unibas.ch
Files
dat_cd_trunc_1975.csv
Files
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