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convergenceDFM (version 0.1.4)

test_jackknife_sectors: Jackknife robustness test by sector

Description

Assesses the influence of individual sectors by systematically dropping each sector and re-estimating convergence parameters. Identifies influential sectors and checks stability.

Usage

test_jackknife_sectors(
  X_matrix,
  Y_matrix,
  sector_names = NULL,
  k_exclude = 3,
  max_comp = 3,
  verbose = TRUE
)

Value

List with components:

jackknife_estimates

Matrix of lambda estimates (iterations x factors).

original_estimate

Original lambda from full sample.

bias

Estimated jackknife bias.

se

Jackknife standard errors.

influential_sectors

Character vector of highly influential sectors.

dfbetas

Matrix of influence measures (DFBETAS).

Arguments

X_matrix

Matrix of first set of variables

Y_matrix

Matrix of second set of variables

sector_names

Vector of sector names (default: NULL)

k_exclude

Number of sectors to exclude in each iteration (default: 3)

max_comp

Maximum number of components (default: 3)

verbose

Logical; print progress and diagnostic information. Default TRUE.

Details

column names.