Kendall's tau between the ranks of two cross-sections, and the share of
countries that moved at least k places: a summary of mobility that
complements transition_matrix().
Value
A one-row tibble: n (countries with a value in both years),
tau (Kendall's tau-b of the two rankings: 1 for an unchanged order),
p_value (for tau = 0), and share_moved (the share of countries whose
rank changed by k places or more), with the per-country ranks as the
"ranks" attribute.
Examples
set.seed(1)
pan <- expand.grid(iso3c = c("FRA", "DEU", "BRA", "IND", "CHN", "NGA"),
year = c(2000, 2010), stringsAsFactors = FALSE)
pan$gdp <- exp(stats::rnorm(nrow(pan), 9, 1))
rank_mobility(pan, gdp, from = 2000, to = 2010, k = 1)
#> # A tibble: 1 × 4
#> n tau p_value share_moved
#> <int> <dbl> <dbl> <dbl>
#> 1 6 0.0667 0.851 0.667
