ipeadata.m: Ipea Monthly Macroeconomic Dataset

In tspredit: Time Series Prediction with Integrated Tuning

Ipea Monthly Macroeconomic Dataset

Description

Monthly economic time series from Ipea (Institute for Applied Economic Research, Brazil). Data Type: Macroeconomic indicators. Category: Public data. Observations: 156 to 1019 per series, 23 series. This dataset contains the most requested time series provided by Ipea, including exchange rates, inflation indices, unemployment rates, interest rates, minimum wage, and GDP. The series span from 1930 to September 2017. Missing values were removed using na.omit. The last 12 observations are for testing set.

Usage

data(ipeadata.m)

Format

A data frame with up to 1019 rows and 23 columns. Each column corresponds to a different univariate monthly time series.

Details

Contains monthly macroeconomic indicators; the last 12 observations are intended as a test set.

Source

Ipea - Ipeadata Portal, section "Most Requested Series", filtered by frequency "Monthly".

References

Ipea (2017). Ipeadata – Macroeconomic and Regional Data. Technical Report. http://www.ipeadata.gov.br

Examples

# Load Ipea monthly dataset and plot the first series
data(ipeadata.m)
# ipeadata.m <- loadfulldata(ipeadata.m)
series <- ipeadata.m[[1]]
ts.plot(series, ylab = "Value", xlab = "Month", main = "Ipea monthly example")

tspredit documentation built on Feb. 11, 2026, 9:08 a.m.