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Monthly macroeconomic indicators from the Brazilian Central Bank (Banco Central do Brasil), covering economic activity, inflation, industrial production, services, and oil production.

Usage

macro_series

Format

A data frame with 279 rows and 5 variables:

date

Date, first day of the month (YYYY-MM-DD)

ibcbr_dessaz

IBC-Br dessazonalizado (Seasonally adjusted Central Bank Economic Activity Index). Monthly economic activity indicator that serves as a proxy for GDP, base 2002 = 100

ipca

IPCA - Índice de Preços ao Consumidor Amplo (Broad Consumer Price Index). Monthly inflation rate in percent, official inflation measure used for monetary policy targeting

ipi

IPI - Índice de Produção Industrial (Industrial Production Index). Measures monthly industrial production, base 2012 = 100

oil

Produção de petróleo bruto (Crude oil production). Monthly crude oil production in thousands of barrels per day

Source

Brazilian Central Bank (Banco Central do Brasil) https://www3.bcb.gov.br/sgspub/

Details

The Brazilian Central Bank publishes these indicators through its Time Series Management System (SGS), under the codes below.

  • IPCA: 433

  • IPI: 21859

  • Oil production: 1389

  • IBC-Br (seasonally adjusted): 24364

Examples

if (FALSE) { # has_insper_fonts()
library(ggplot2)

# Plot inflation over time using insper_timeseries
recent_data <- subset(macro_series, date >= as.Date("2020-01-01"))
insper_timeseries(recent_data, x = date, y = ipca) +
  labs(
    title = "Brazilian Inflation (IPCA)",
    subtitle = "Monthly rate in percent (2020-present)",
    y = "IPCA (%)"
  )
}