2. Inflation Analysis

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get_inflation_rate()

Downloads monthly IPCA inflation data from Central Bank of Brazil.

Parameters

start_date: Start date “YYYY-MM-DD” (default: “2012-01-01”)
end_date: End date “YYYY-MM-DD” (default: NULL - most recent)
language: Column names - "eng" (default) or "pt"
labels: Whether to add variable labels (default: TRUE)

Usage

devtools::install_github("efram2/brfinance")
library(brfinance)

# Complete data (default)
inflation <- get_inflation_rate()

# Specific period in English
inflation_eng <- get_inflation_rate(
  start_date = "2020-01-01",
  end_date = "2024-12-01", 
  language = "eng"
)

# Portuguese version
inflation_pt <- get_inflation_rate(
  start_date = "2020-01-01", 
  language = "pt"
)

Output Structure

English:

# A tibble: 156 × 5
   date       monthly_inflation ytd_inflation twelve_month_inflation year
   <date>                 <dbl>         <dbl>                 <dbl> <dbl>
 1 2020-01-01             0.21          0.21                  4.18  2020

Portuguese:

# A tibble: 156 × 5
   data_referencia inflacao_mensal inflacao_acumulada_ano inflacao_12_meses   ano
   <date>                     <dbl>                 <dbl>             <dbl> <dbl>
 1 2020-01-01                 0.21                  0.21              4.18  2020

Returned data:

Monthly IPCA variation
Year-to-date accumulated
12-month accumulated

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They may not be fully stable and should be used with caution. We make no claims about them.
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