I want to calculate the radicalness of patents, so I am working with the backward citation. To calculate the radicalness of patents I am using the OECD radicalness index, which is shown in the figure below. The radicalness of a patent is calculated by dividing the number of IPC codes by the number of all citations.
Array
I am working with the IPC classification data of patentsview and I am merging this dataset with the US patent citation data of patentsview to calculate the radicalness. The problem is that the IPC dataset gives multiple IPC codes for one patent_id. Therefore I can not merge the dataset with the us patent citation dataset. I need to have one IPC code for every patent, How can I achieve this? Attached is a part of my dataset of the IPC codes. I already did drop some variables which are not needed in the analysis. When I can merge the dataset with the US patent citation, I can calculate the radicalness. see picture below for a part of the data, which shows the problem.
Thanks in advance.
Array
Related Posts with Merging us patentsview with IPC codes, multiple ipc codes for one patent_id
t-statistic and survey dataHello, I would like to perform a t-statistic test for differences in percentages. Below, I provide …
How to output random-intercepts and random-slope information to Excel properly?Hi All, My question: Would you know why the random-effects portions of my (i) random-intercept only…
xtscc command for robust standard errors in unbalanced panels (autoregressive model)Dear all, I am currently trying to estimate a dynamic panel model using the xtscc command to provid…
Adjustment for clustered predictors in multinomial logistic regression with multiple imputationsI want to test the association between childhood behaviors at age six and trajectories of welfare us…
U-testHELLO EVERYONE, I run the PMG estimators for the quadratic model and the results show that positive …
Subscribe to:
Post Comments (Atom)
0 Response to Merging us patentsview with IPC codes, multiple ipc codes for one patent_id
Post a Comment