log_distance creates a new dist_log column in log scale by taking the original distance column in the data

log_distance(data, distance)

Arguments

data

(Type: data.frame) the dataset to be used.

distance

The distance column

Value

The function returns the summary of the estimated gravity model as an lm-object.

See also

Examples

log_distance(gravity_zeros, "distw")
#> # A tibble: 22,588 × 11
#>    iso_o iso_d  distw gdp_o   gdp_d   rta    flow contig comlang_off comcur
#>    <chr> <chr>  <dbl> <dbl>   <dbl> <dbl>   <dbl>  <dbl>       <dbl>  <dbl>
#>  1 AFG   ARG   15341. 8399. 214058.     0 0.061        0           0      0
#>  2 AFG   AUS   11086. 8399. 768178.     0 0.406        0           0      0
#>  3 AFG   AUT    4567. 8399. 322444.     0 0.165        0           0      0
#>  4 AFG   AZE    1822. 8399.  20122.     0 0.00160      0           0      0
#>  5 AFG   BDI    5849. 8399.    807.     0 0            0           0      0
#>  6 AFG   BEL    5332. 8399. 392001.     0 4.16         0           0      0
#>  7 AFG   BEN    7331. 8399.   4775.     0 0            0           0      0
#>  8 AFG   BFA    7464. 8399.   6205.     0 0.00103      0           0      0
#>  9 AFG   BGD    2489. 8399.  61961.     0 3.02         0           0      0
#> 10 AFG   BGR    3819. 8399.  31483      0 0.0197       0           0      0
#> # ℹ 22,578 more rows
#> # ℹ 1 more variable: dist_log <dbl>