summarize_weighted_production: Summaries based on the weight of each loan per sector per...

In r2dii.analysis: Measure Climate Scenario Alignment of Corporate Loans

Summaries based on the weight of each loan per sector per year

Description

Based on on the weight of each loan per sector per year, summarize_weighted_production() and summarize_weighted_percent_change() summarize the production and percent-change, respectively.

Usage

summarize_weighted_production(data, ..., use_credit_limit = FALSE)

summarize_weighted_percent_change(data, ..., use_credit_limit = FALSE)

Arguments

data	A data frame like the output of join_abcd_scenario().
...	Variables to group by.
use_credit_limit	Logical vector of length 1. FALSE defaults to using the column loan_size_outstanding. Set to TRUE to instead use the column loan_size_credit_limit.

Value

A tibble with the same groups as the input (if any) and columns: sector, technology, and year; and weighted_production or weighted_production for summarize_weighted_production() and summarize_weighted_percent_change(), respectively.

Warning

The percent-change analysis excludes companies with 0 production. percent-change is undefined for companies that have no initial production; including such companies would cause percent-change percentage to be infinite, which is wrong.

See Also

join_abcd_scenario().

Other utility functions: join_abcd_scenario()

Examples

library(r2dii.data)
library(r2dii.match)

loanbook <- head(loanbook_demo, 150)
abcd <- head(abcd_demo, 100)
master <- loanbook %>%
  match_name(abcd) %>%
  prioritize() %>%
  join_abcd_scenario(
    abcd = abcd,
    scenario = scenario_demo_2020,
    region_isos = region_isos_demo
    ) %>%
  dplyr::filter(production != 0)

summarize_weighted_production(master)

summarize_weighted_production(master, use_credit_limit = TRUE)

summarize_weighted_percent_change(master)

summarize_weighted_percent_change(master, use_credit_limit = TRUE)

r2dii.analysis documentation built on May 29, 2024, 11:47 a.m.