View source: R/f_extensions_multilateral_indices.R
utpd_fbmw | R Documentation |
This function returns a value of the unweighted multilateral TPD price index (Time Product Dummy index) extended by using the FBMW (Fixed Base Moving Window) method.
utpd_fbmw(data, start, end)
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". |
This function returns a value of the unweighted multilateral TPD price index extended by using the FBMW (Fixed Base Moving Window) method. It measures the price dynamics between periods end
and start
and it uses a 13-month time window with a fixed base month taken as year(end)-1
. If the distance between end
and start
exceeds 13 months, then internal Decembers play a role of chain-linking months. The month of the start
parameter must be December. 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).
de Haan, J. and F. Krsinich (2014). Time Dummy Hedonic and Quality-Adjusted Unit Value Indexes: Do They Really Differ? Paper presented at the Society for Economic Measurement Conference, 18-20 August 2014, Chicago, U.S.
Lamboray, C.(2017). The Geary Khamis index and the Lehr index: how much do they differ? Paper presented at the 15th Ottawa Group meeting, 10-12 May 2017, Elville am Rhein, Germany.
utpd_fbmw(milk, start="2019-12", end="2020-04")
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