Fiscal operations — fiscal_operations • databcrd

Downloads fiscal operations data published by the Central Bank of the Dominican Republic and returns it in tidy format at either monthly or annual frequency.

Usage

fiscal_operations(frecuencia = c("mensual", "anual"))

Source

Central Bank of the Dominican Republic (Banco Central de la República Dominicana), Operaciones del Sector Público. https://cdn.bancentral.gov.do/documents/estadisticas/documents/Operaciones_Mensual.xlsx

Arguments

frecuencia

Character scalar indicating the desired frequency. Must be one of:

"mensual": Return monthly observations (default).
"anual": Return annual totals obtained by summing monthly values.

Value

If frecuencia = "mensual", a tibble with the following columns:

codigo: Unique account code. Duplicate codes in the source are disambiguated by appending a numeric suffix.
categoria: Institutional sector.
cuenta: Account name.
level: Hierarchical level inferred from the account code.
fecha: Observation date.
year: Calendar year.
mes: Calendar month (1–12).
value: Reported fiscal value.

If frecuencia = "anual", a tibble with one observation per account and year containing:

codigo: Unique account code.
categoria: Institutional sector.
cuenta: Account name.
level: Hierarchical level inferred from the account code.
year: Calendar year.
value: Annual total obtained by summing monthly values.

Details

The source spreadsheet reports fiscal aggregates for the Central Government, the Rest of the Public Sector, and the Non-Financial Public Sector. The function cleans the original workbook, propagates category labels and account codes, removes empty rows, derives the hierarchical level of each account from its code, and reshapes the data into a long format. Monthly observations can be returned directly, or aggregated to annual totals.

The source workbook is downloaded directly from the Central Bank of the Dominican Republic each time the function is called.

Examples

if (FALSE) { # \dontrun{
# Monthly data
monthly <- get_fiscal()

# Annual totals
annual <- get_fiscal("anual")
} # }