geksqm_fbew {PriceIndices} | R Documentation |
Extending the multilateral GEKS-QM price index by using the FBEW method.
Description
This function returns a value of the multilateral GEKS-QM price index extended by using the FBEW (Fixed Base Monthly Expanding Window) method.
Usage
geksqm_fbew(data, start, end, r)
Arguments
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. "2019-12". |
end |
The research period (as character) limited to the year and month, e.g. "2020-04". |
r |
The real and non-zero parameter used in the implicit quadratic mean of order r price index. |
Value
This function returns a value of the multilateral GEKS-QM price index extended by using the FBEW (Fixed Base Monthly Expanding Window) method. The FBEW method uses a time window with a fixed base month every year (December). The window is enlarged every month with one month in order to include information from a new month. The full window length (13 months) is reached in December of each year. The function measures the price dynamics between periods end
and start
. The month of the start
parameter must be December. If the distance between end
and start
exceeds 13 months, then internal Decembers play a role of chain-linking months. 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
Gini, C. (1931). On the Circular Test of Index Numbers. Metron 9:9, 3-24.
Elteto, O., and Koves, P. (1964). On a Problem of Index Number Computation Relating to International Comparisons. Statisztikai Szemle 42, 507-518.
Szulc, B. (1983). Linking Price Index Numbers. In: Price Level Measurement, W. E. Diewert and C. Montmarquette (eds.), 537-566.
Chessa, A.G. (2016). A New Methodology for Processing Scanner Data in the Dutch CPI. Eurona 1/2016, 49-69.
Examples
geksqm_fbew(milk, start="2018-12", end="2019-08", r=1.2)