Simulated Lognormal-Lognormal Data — data

A simulated dataset for 100 districts under a Lognormal-Lognormal model. Suitable for strictly positive, right-skewed outcomes.

Usage

data_lnln

A data frame with 100 rows and 13 variables:

district: District identifier ("district_001" .. "district_100") – the 100 small areas to estimate.
x1, x2, x3: Auxiliary covariates.
u_true: True area-level random effect (log scale).
teta_true: True linear predictor (log scale).
mu_orig_true: True mean on the original scale.
n: Area sample size.
y_obs: Observed direct estimator.
lambda_dir: Direct estimator scale parameter.
y_log_obs: Observed value on the log scale.
psi_i: Sampling variance on the log scale.
regency: Regency identifier ("regency_01" .. "regency_05") – coarse spatial-cluster level (5 regencies each containing 20 districts). Pair with adjacency_matrix_car_regency.

Simulated.