Spatial Knowledge Spillovers Across Technologies and an Inter-Regional Innovation Network
收藏DataCite Commons2021-10-30 更新2024-08-18 收录
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https://figshare.com/articles/dataset/The_Spatial_Knowledge_Spillover_Network_and_Regional_Patent_Growth/15163968/3
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资源简介：
Matrices and results<br>matdissimilarity.dta: the dissimilarity matrix.<br>numberofPatents08-19.dta: yearly number of patent applications by NUTS2 and IPC class.<br>cloglog_b2.dta: saves all regression results,including MEs of distance and distance*dissimilarity, the coefficients (b's), standard errors(se's), p values (p's), lower limits (ll's) and upper limits (ul's)<br>pairwise b2.dta: calculates the overall effect of distance, b=\beta^0_{m}+\beta^1_{m}*dissimilarity, its standard error and t value.<br><br>predictValue_cloglog2_NUTS2.dta: The expected patent output calculated based on the predicted probabilities. Then RCAs can be calculated based on the expected patent output. <br>
提供机构：
figshare
创建时间：
2021-10-10
