Return ifo business climate vintage data

Usage

ifo_vintage(
  type = c("germany", "industry", "manufacturing", "services", "trade", "wholesale",
    "retail", "construction")
)

Source

https://www.ifo.de/en/ifo-time-series

Arguments

type

(character(1))
Defaults to "germany". One of:

"germany": returns the vintages of the ifo business climate index for Germany.
"industry", "manufacturing", "services", "trade", "wholesale", "retail", "construction": returns the vintages of the ifo business climate for the sector.

Value

A data.frame() containing the monthly ifo business climate vintages in long format.

Details

A vintage is the time series as published in a given month. Each vintage runs from the start of the series to its own release month, so later vintages contain more months and may revise earlier values, for example through seasonal adjustment. The output contains one observation per row in value. The other columns describe each observation:

yearmonth: the observed month.
vintage: the first day of the month in which the series was published.
indicator: climate, situation, or expectation.
series: index or balance.

type = "germany" and type = "industry" return an index with 2015 = 100. All other sectors return balances. type = "industry" corresponds to "Industry and Trade" in the source. ifo updates the vintage workbooks less often than the monthly releases, so the latest vintage can lag the current ifo_business() release by several months.

Examples

# \donttest{
vintage <- ifo_vintage("germany")
head(vintage)
#>    yearmonth    vintage   indicator series value
#> 1 2005-01-01 2018-04-01     climate  index  91.9
#> 2 2005-01-01 2018-04-01   situation  index  87.0
#> 3 2005-01-01 2018-04-01 expectation  index  97.2
#> 4 2005-01-01 2018-05-01     climate  index  92.0
#> 5 2005-01-01 2018-05-01   situation  index  87.2
#> 6 2005-01-01 2018-05-01 expectation  index  97.1
# }