View source: R/f_bilateral_indices.R
hybrid | R Documentation |
This function returns a value (or a vector of values) of the bilateral hybrid price index. The hybrid index was proposed by Bialek (2020) and it uses correlation coefficients between prices and quantities.
hybrid(data, start, end, base = start, interval = FALSE)
data |
The 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'. |
base |
The prior period used in the hybrid price index formula (as character) limited to the year and month, e.g. '2020-01'. |
interval |
A logical value indicating whether the function is to compare the research period defined by |
The function returns a value (or a vector of values) of the bilateral hybrid 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).
Bialek, J. (2020). Proposition of a Hybrid Price Index Formula for the Consumer Price Index Measurement. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(4), 697-716.
hybrid(sugar, start="2019-12", end="2020-08", base="2018-12")
hybrid(milk, start="2019-12", end="2020-08", base="2018-12", interval=TRUE)
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