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Published June 9, 2023 | Version v3

Replication Data for The Illusive Slump of Disruptive Patents

  • 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 (7.6 GB)

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