impact_intersectional — impact_intersectional • medusa

Function to calculate the distributional impacts based in the intersection of two socioeconomic or demographic variables (2 variables per impact).

impact_intersectional(
  data,
  pairs = is_categories,
  save = T,
  file_name = "DI_impact",
  fig = T,
  shocks_scenario_names
)

Arguments

data: a dataset with the input data needed to calculate the intersectional distributional impacts. The dataset should contain both the household expenditures collected in the HBS and the expenditures after applying the price shock.
pairs: set of variables (2) according to which you want to calculate distributional impacts. If is_categories (by default) calculates the intersectional distributional impacts for each of the set of variables specified in the package. If not, you can indicate the set of variables according to which you want to calculate the intersectional distributional impacts.If you want to see the set of variables for which the calculation is available run `available_var_intersec()`. To enter a set of variables for the calculation, it must follow the same format as the output of `available_var_intersec()`, i.e. a table whose columns have category_a and category_b as their titles.
save: If TRUE (by default) saves a list of the generated datasets (.RData) summarising the intersectional distributional impacts per selected set of variable. If FALSE do not save.
file_name: name of the file to save the results, if save TRUE. By default "DI_impacts".
fig: generates and saves a graph that summarises the intersectional distributional impacts. By default it is TRUE, for the graph/s not to be generated and saved indicate FALSE.
shocks_scenario_names: vector of the names of the considered scenario shocks

a list containing the generated datasets (.RData) summarising the intersectional distributional impacts per selected set of variables.