utpd {PriceIndices} | R Documentation |
Calculating the unweighted multilateral TPD price index
Description
This function returns a value of the unweighted multilateral TPD (Time Product Dummy) price index.
Usage
utpd(data, start, end, wstart = start, window = 13)
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. "2020-03". |
end |
The research period (as character) limited to the year and month, e.g. "2020-04". |
wstart |
The beginning of the time interval (which is used by multilateral methods) limited to the year and month, e.g. "2020-01". |
window |
The length of the time window (as positive integer: typically multilateral methods are based on the 13-month time window). |
Value
This function returns a value of the unweighted multilateral TPD price index which considers the time window defined by wstart
and window
parameters. It measures the price dynamics by comparing period end
to period start
(both start
and end
must be inside the considered time window). Please note, that the estimation procedure runs the Ordinary Least Squares (OLS) method instead of the Weighted Least Squares (WLS) method like in the case of the TPD index. 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
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.
Examples
utpd(milk, start="2019-01", end="2019-08",window=10)
utpd(milk, start="2018-12", end="2019-12")