Leontief Extraction and Comparison Workflow Tools — extract_leontief

Utilities for exposing Leontief matrices, preparing comparison tables, and reproducing the comparison, plotting, and interpretation workflow described in the package documentation and companion paper context.

Usage

extract_leontief_matrices(results, matrix = c("A", "L"), format = c("list", "long", "wide"))

prepare_sube_comparison(
  leontief,
  models,
  measure = c("multiplier", "elasticity"),
  aggregate_years = TRUE,
  variables = c("GO", "VA", "EMP", "CO2"),
  apply_paper_filters = TRUE
)

plot_paper_comparison(
  data,
  kind = c("by_country", "by_product", "density"),
  measure = c("multiplier", "elasticity"),
  variables = c("GO", "VA", "EMP"),
  type = NULL,
  label_outliers = TRUE
)

plot_paper_regression(
  data,
  method = c("between", "pooled", "ols"),
  measure = c("multiplier", "elasticity"),
  variables = c("GO", "VA", "EMP"),
  include_ci = TRUE
)

plot_paper_interval_ranges(models, by = c("country", "product"), variables = c("GO", "VA", "EMP"))

Arguments

results: A sube_results object.
matrix: Which Leontief-related matrix to extract.
format: Output format.
leontief: A sube_results object.
models: A sube_models object.
measure: Comparison measure.
aggregate_years: Whether to average yearly Leontief and OLS results.
variables: Variables to include.
apply_paper_filters: Whether to apply the paper exclusion rules.
data: A tidy comparison table from prepare_sube_comparison().
kind: Paper-style plot family.
type: Comparison types to plot.
label_outliers: Whether to annotate boxplot outliers.
method: Model method to compare against Leontief.
include_ci: Whether to show prediction intervals.
by: Orientation for interval-range plots.

Value

Extraction helpers return lists or data.table objects. Plot helpers return named lists of ggplot objects.