relatedness: Relatedness
In n3ssuno/RKS: Regional Knowledge Space

Description Usage Arguments Details Value References

View source: R/revealed_relatedness.R

The function computes the so called Relatedness index.

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relatedness(occt, output_statistic = "t", is_binary = NULL,
  fixedmar = "both", seed = Sys.time(), n_sim = 1000,
  sparse = FALSE)

`occt`	Contingency table (i.e., occurrence table or incidence matrix) on which you want to compute the indices. It can be a 2D array, in which the first dimension represents the units of analysis (like firms, regions, or countries), and the second dimension represents the events or characteristics of interest (like the classes of the patents produced by the regions, or the sectors in which the workers belongs). Lastly, the values in each cell represents the occurrences of each unit-event pair. Moreover, you can use also a 3D array if you like, in which the third dimension represents the time. The object is expected to be of "table" class.
`output_statistic`	It can be "t" for t-statistic or "p" for p-value (look at Bottazzi and Pirino 2010 for an explanation).
`is_binary`	It can be NULL (default), TRUE or FALSE.
`fixedmar`	It is useful to choose which constraint you want to impose in the null model.
`seed`	It is useful to choose the seed.
`n_sim`	You can choose how many simulations you want to run to compute the null model.
`sparse`	It can be TRUE or FALSE

The function computes the so called Relatedness index.

A matrix of similarity between technological domains

Teece, Rumelt, Dosi and Winter (1994) “Understanding Corporate Coherence: Theory and Evidence”, Journal of Economic Behavior & Organization, 23, 1–30;

Nesta and Saviotti (2005) “Coherence of the Knowledge Base and the Firm's Innovative Performance: Evidence from the U.S.~Pharmaceutical Industry”, Journal of Industrial Economics, 53, 123–142;

Nesta and Saviotti (2006) “Firm Knowledge and Market Value in Biotechnology”, Industrial and Corporate Change, 15, 625–652;

Nesta (2008) “Knowledge and Productivity in the World's Largest Manufacturing Corporations”, Journal of Economic Behavior \& Organization, 67, 886–902,

Bottazzi and Pirino (2010) “Measuring Industry Relatedness and Corporate Coherence”, SSRN Electronic Journal, 11, 1–24;

Quatraro (2010) “Knowledge Coherence, Variety and Economic Growth: Manufacturing Evidence from Italian Regions”, Research Policy, 39, 1289-1302;

n3ssuno/RKS documentation built on Jan. 15, 2020, 5:15 p.m.