deflateBR
is an R
package used to deflate nominal Brazilian Reais using several popular price indexes.
The deflateBR
’s main function, deflate
, requires three arguments to work: a numeric
vector of nominal Reais (nominal_values
); a Date
vector of corresponding dates (nominal_dates
); and a reference month in the MM/YYYY
format (real_date
), used to deflate the values. An example:
# Load the package
library(deflateBR)
# Deflate January 2000 reais
deflate(nominal_values = 100, nominal_dates = as.Date("2000-01-01"), real_date = "01/2018")
#>
#> Downloading necessary data from IPEA's API
#> ...
#> [1] 310.3893
Behind the scenes, deflateBR
requests data from IPEADATA’s API on one these five Brazilian price indexes: IPCA and INPC, maintained by IBGE; and IGP-M, IGP-DI, and IPC maintained by FGV/IBRE. To select one of the available price indexes, just provide one of the following options to the index =
argument: ipca
, igpm
, igpdi
, ipc
, and inpc
. In the following, the INPC index is used.
# Deflate January 2000 reais using the FGV/IBRE's INCP price index
deflate(100, as.Date("2000-01-01"), "01/2018", index = "inpc")
#>
#> Downloading necessary data from IPEA's API
#> ...
#> [1] 318.1845
With the same syntax, a vector of nominal Reais can also be deflated, what is useful while working with data.frames
:
# Create some data
df <- tibble::tibble(reais = seq(101, 200),
dates = seq.Date(from = as.Date("2001-01-01"), by = "month", length.out = 100)
)
# Reference date to deflate the nominal values
reference <- "01/2018"
# Deflate using IGP-DI
head(deflate(df$reais, df$dates, reference, "igpdi"))
#>
#> Downloading necessary data from IPEA's API
#> ...
#> [1] 341.0412 342.7393 344.9315 345.5051 344.9379 346.6979
For tidyverse
users, the deflate
function can be easily used inside code chains:
library(tidyverse)
df %>%
mutate(deflated_reais = deflate(reais, dates, reference, "ipca"))
#>
#> Downloading necessary data from IPEA's API
#> ...
#> # A tibble: 100 x 3
#> reais dates deflated_reais
#> <int> <date> <dbl>
#> 1 101 2001-01-01 296.
#> 2 102 2001-02-01 297.
#> 3 103 2001-03-01 299.
#> 4 104 2001-04-01 300.
#> 5 105 2001-05-01 301.
#> 6 106 2001-06-01 303.
#> 7 107 2001-07-01 304.
#> 8 108 2001-08-01 303.
#> 9 109 2001-09-01 304.
#> 10 110 2001-10-01 306.
#> # ... with 90 more rows
To facilitate the task of deflating nominal Reais, the deflateBR
package also provides five convenience functions: ipca
, inpc
, igpm
, igpdi
, and ipc
. Each one of these functions deflate nominal values using their corresponding price indexes. For instance, to deflate nominal Reais using IGP-M, one can execute the following code:
Or, using the IPCA index:
In addition, the deflateBR
package contains a function called inflation
that calculates the inflation rate between two dates quickly. Providing initial and end dates in the MM/YYYY format, plus one price index, the function returns the inflation rate in percent:
# Inflation rate between January and December of 2017
inflation("01/2017", "12/2017", "ipca")
#>
#> Downloading necessary data from IPEA's API
#> ...
#> [1] 2.947421
Install the latest released version from CRAN with:
To install the development version of the package, use:
if (!require("devtools")) install.packages("devtools")
devtools::install_github("meirelesff/deflateBR")
Following standard practice, seconded by the Brazilian Central Bank, the deflateBR
adjusts for inflation by multiplying nominal Reais by the ratio between the original and the reference price indexes. For example, to adjust 100 reais of January 2018, with IPCA index of 4916.46, to August 2018, with IPCA of 5056.56 in the previous month, we first calculate the ratio between the two indexes (e.g., 5056.56 / 4916.46 = 1.028496) and then multiply this value by 100 (e.g., 102.84 adjusted Reais). The deflate
function gives exactly the same result:
deflate(100, as.Date("2018-01-01"), "08/2018", "ipca")
#>
#> Downloading necessary data from IPEA's API
#> ...
#> [1] 102.8496
To cite deflateBR
in publications, please use: