Create Temporal Indicators Summary for Multiple Groups

Generates summary statistics of temporal employment indicators across treatment groups or other categorical variables for impact evaluation analysis. Provides group comparisons and statistical tests.

Usage

create_temporal_indicators_summary(
  temporal_data,
  group_var = NULL,
  indicator_vars = NULL,
  summary_stats = c("mean", "median", "sd", "n"),
  statistical_tests = TRUE,
  period_range = NULL,
  output_format = "summary"
)

Arguments

temporal_data

data.table output from compute_temporal_employment_indicators()

group_var

Character. Grouping variable name (e.g., "treatment_group"). Default: NULL

indicator_vars

Character vector. Indicator variables to summarize. Default: auto-detect

summary_stats

Character vector. Statistics to compute: c("mean", "median", "sd", "n"). Default: all

statistical_tests

Logical. Perform group comparison tests? Default: TRUE

period_range

Integer vector. Periods to include in analysis. Default: NULL (all)

output_format

Character. "summary" or "detailed". Default: "summary"

Value

data.table with summary statistics by group and period

Examples

if (FALSE) { # \dontrun{
# Create temporal indicators
indicators <- compute_temporal_employment_indicators(employment_data)

# Add treatment assignment
indicators[, treatment_group := sample(c("control", "treatment"), nrow(indicators), replace = TRUE)]

# Generate group summary
group_summary <- create_temporal_indicators_summary(
  indicators, 
  group_var = "treatment_group",
  indicator_vars = c("employment_rate", "contract_quality"),
  statistical_tests = TRUE
)
} # }