complexity_outlook() computes the Complexity Outlook
Index and the Complexity Outlook Gain.
complexity_outlook(balassa_index, proximity_product, complexity_index_product)(Type: dgCMatrix) the output from
balassa_index()) or an equivalent arrangement.
(Type: dgCMatrix) the output from
proximity()) or an equivalent arrangement.
(Type: numeric) the output from
complexity_measures()) or an equivalent arrangement.
A list of two named numeric vectors.
The current implementation follows (Hausmann et al. 2014) to measure unexploited export oppportunities.
For more information on this index see:
Hausmann R, Hidalgo C, Bustos S, Coscia M, Simoes A, Yildirim M (2014). The atlas of economic complexity: Mapping paths to prosperity. MIT Press. doi:10.7551/mitpress/9647.001.0001 .
and the references therein.
co <- complexity_outlook(
economiccomplexity_output$balassa_index,
economiccomplexity_output$proximity$proximity_product,
economiccomplexity_output$complexity_measures$complexity_index_product
)
# partial view of complexity outlook
co$complexity_outlook_index[1:5]
#> afg ago aia alb and
#> 103.948610 9.962401 122.311158 152.107317 151.295380
co$complexity_outlook_gain[1:5, 1:5]
#> 5 x 5 Matrix of class "dgeMatrix"
#> 0011 0012 0013 0014 0015
#> afg 0.8615531 0.7613878 0.7537907 1.0961458 0.8143851
#> ago 0.9681802 0.8436855 0.8219918 1.2151040 0.8883146
#> aia 0.8339114 0.7475080 0.7247198 1.0425043 0.7671877
#> alb 0.7979779 0.7199705 0.7132042 1.0170093 0.7636545
#> and 0.0000000 0.7118512 0.6829531 0.9987236 0.0000000