Complexity Outlook — complexity_outlook • economiccomplexity

complexity_outlook() computes the Complexity Outlook Index and the Complexity Outlook Gain.

Usage

complexity_outlook(balassa_index, proximity_product, complexity_index_product)

Arguments

balassa_index: (Type: matrix) the output from balassa_index()) or an equivalent arrangement.
proximity_product: (Type: matrix) the output from proximity()) or an equivalent arrangement.
complexity_index_product: (Type: numeric) the output from complexity_measures()) or an equivalent arrangement.

Value

A list of two named numeric vectors.

Details

The current implementation follows (Hausmann et al. 2014) to measure unexploited export oppportunities.

References

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.

Examples

co <- complexity_outlook(
  economiccomplexity_output$balassa_index,
  economiccomplexity_output$proximity$proximity_product,
  economiccomplexity_output$complexity_measures$complexity_index_product
)

# partial view of complexity outlook
n <- seq_len(5)
co$complexity_outlook_index[n]
#>        afg        ago        aia        alb        and 
#> 103.948610   9.962401 122.311158 152.107317 151.295380 
co$complexity_outlook_gain[n, n]
#>          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