balassa_index()
computes the Balassa Index for a
bipartite relation between countries and products.
balassa_index(
data,
discrete = TRUE,
cutoff = 1,
country = "country",
product = "product",
value = "value"
)
(Type: data.frame, matrix or dgCMatrix) a dataset such as
galactic_federation
containing countries, products and exported values.
(Type: logical) whether converting the Balassa Index to
discrete (0/1) values. Anything below the specified cutoff is converted to 0
and 1 otherwise. By default this is set to TRUE
.
(Type: numeric) the cutoff to use for discretization.
By default this is set to 1
.
(Type: character) the column with the countries.
By default this is set to "country"
. Used only if the input is a data.frame.
(Type: character) the column with the products.
By default this is set to "product"
. Used only if the input is a data.frame.
(Type: character) the column with the metric for
country-product pairs.
By default this is set to "value"
. Used only if the input is a data.frame.
A matrix with the Balassa Index.
The current implementation follows (Mariani et al. 2015) to obtain a metric for specialisation. In the context of international trade, if the Balassa Index for a country-product pair is more than 1, it means that country is specialized in that product. If the input for this function is a data.frame instead of a matrix, the function shall aggregate the data and convert the input to a matrix.
For more information see:
Mariani M, Vidmer A, Medo M, Zhang Y (2015). “Measuring economic complexity of countries and products: which metric to use?” The European Physical Journal B, 88(11), 293. doi:10.1140/epjb/e2015-60298-7 .
and the references therein.
bi <- balassa_index(world_trade_avg_1998_to_2000)
# partial view of index
bi[1:5, 1:5]
#> 5 x 5 sparse Matrix of class "dgCMatrix"
#> 0011 0012 0013 0014 0015
#> afg . . . . .
#> ago . . . . .
#> aia . . . . .
#> alb . . . . .
#> and 1 . . . 1