Productivity Levels

productivity_levels() computes EXPY and PRODY measures.

productivity_levels(
  data_exp,
  data_gdp,
  country = "country",
  product = "product",
  value = "value"
)

Arguments

data_exp

(Type: data.frame, matrix or dgCMatrix) a dataset containing countries, products and exported values.

data_gdp

(Type: data.frame, matrix or dgCMatrix) a dataset containing countries and per-capita GDP values.

country

(Type: character) the column with the countries. By default this is set to "country". Used only if the input is a data.frame.

product

(Type: character) the column with the products. By default this is set to "product". Used only if the input is a data.frame.

value

(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.

Value

A list of two named numeric vectors.

Details

The current implementation follows (Hausmann et al. 2005) to obtain the productivity and income levels associated to exports.

References

For more information on prody and its applications see:

Hausmann R, Hwang J, Rodrik D (2005). “What You Export Matters.” Working Paper 11905, National Bureau of Economic Research. doi:10.3386/w11905 .

Examples

pl <- productivity_levels(
  world_trade_avg_1998_to_2000,
  world_gdp_avg_1998_to_2000
)
#> Warning: 'data_exp' and 'data_gdp' don't have the same countries, some elements will be dropped

# partial view of productivity levels
pl$productivity_level_country[1:5]
#>       ago       alb       and       are       arg 
#>  8223.607  6343.341 13783.485 10207.679  9269.670 
pl$productivity_level_product[1:5]
#>      0011      0012      0013      0014      0015 
#>  7915.893  3986.371 11375.710  6273.428 17628.950