MLBC (version 0.2.1)

topic_model_data: Topic model dataset

Description

Dataset containing topic model outputs for demonstrating bias correction methods in topic model regressions using CEO diary data.

Usage

topic_model_data

Format

A list with 8 components:

covars

Data frame (916 x 11): Control variables

estimation_data

Data frame (916 x 672): Contains outcome ly and word frequencies

gamma_draws

Data frame (2000 x 2): MCMC draws

theta_est_full

Data frame (916 x 2): Full sample topic proportions

theta_est_samp

Data frame (916 x 2): Subsample topic proportions

beta_est_full

Data frame (2 x 654): Full sample topic-word distributions

beta_est_samp

Data frame (2 x 654): Subsample topic-word distributions

lda_data

Data frame (916 x 2): LDA validation data

See Also

ols_bca_topic, ols_bcm_topic

Examples

data(topic_model_data)

# Basic exploration
Y <- topic_model_data$estimation_data$ly
theta <- as.matrix(topic_model_data$theta_est_full)

cat("Sample size:", length(Y), "\n")
cat("Mean log employment:", round(mean(Y), 2), "\n")
cat("Topic 1 mean:", round(mean(theta[, 1]), 3), "\n")