bmw {PriceIndices} | R Documentation |
Calculating the unweighted BMW price index
Description
This function returns a value (or vector of values) of the unweighted Balk-Mehrhoff-Walsh (BMW) price index.
Usage
bmw(data, start, end, interval = FALSE)
Arguments
data |
User's data frame with information about sold products. It must contain columns: |
start |
The base period (as character) limited to the year and month, e.g. "2020-03". |
end |
The research period (as character) limited to the year and month, e.g. "2020-04". |
interval |
A logical value indicating whether the function is to compare the research period defined by |
Value
The function returns a value (or vector of values) of the unweighted bilateral BMW price index depending on the interval
parameter. If the interval
parameter is set to TRUE, the function returns a vector of price index values without dates. To get information about both price index values and corresponding dates, please see functions: price_indices
or final_index
. The function does not take into account aggregating over outlets or product subgroups (to consider these types of aggregating, please use the final_index
function).
References
Mehrhoff, J.(2007). A linear approximation to the Jevons index. In: Von der Lippe (2007): Index Theory and Price Statistics, Peter Lang: Berlin, Germany.
(2018). Harmonised Index of Consumer Prices (HICP). Methodological Manual. Publication Office of the European union, Luxembourg.
Examples
bmw(sugar, start="2018-12", end="2019-12")
bmw(milk, start="2018-12", end="2020-01", interval=TRUE)