turvey: Artificial prices of seasonal products Data created by R....
In multilateral: Generalised Function to Calculate a Variety of Multilateral Price Index Methods
turvey R Documentation
Artificial prices of seasonal products Data created by R. Turvey
Description
The is dataset is presented in the ILO CPI manual. In 1979 Turvey sent his
artificial data set to statistical agencies around
the world, asking them to use their normal techniques to construct monthly
and annual average price indices. About 20 countries replied, and Turvey
summarized the responses as follows: ‘‘It will be seen that
the monthly indices display very large differences, e.g.,
a range of 129.12–169.50 in June, while the range of simple annual means
is much smaller. It will also be seen that the indices vary as to the
peak month or year.’’
Usage
turvey
Format
data frame with 176 rows and 4 variables
- month
The time as a Date type
- commodity
The seasonal product, as a factor
(Apples, Grapes, Oranges, Peaches, Strawberries)
- price
The price as numeric
- quantity
The quantity of items sold in that month as an integer
Source
https://www.ilo.org/wcmsp5/groups/public/—dgreports/—stat/documents/presentation/wcms_331153.pdf
multilateral documentation built on April 20, 2022, 9:06 a.m.
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| turvey | R Documentation |
Artificial prices of seasonal products Data created by R. Turvey
Description
The is dataset is presented in the ILO CPI manual. In 1979 Turvey sent his artificial data set to statistical agencies around the world, asking them to use their normal techniques to construct monthly and annual average price indices. About 20 countries replied, and Turvey summarized the responses as follows: ‘‘It will be seen that the monthly indices display very large differences, e.g., a range of 129.12–169.50 in June, while the range of simple annual means is much smaller. It will also be seen that the indices vary as to the peak month or year.’’
Usage
turvey
Format
data frame with 176 rows and 4 variables
- month
The time as a Date type
- commodity
The seasonal product, as a factor (Apples, Grapes, Oranges, Peaches, Strawberries)
- price
The price as numeric
- quantity
The quantity of items sold in that month as an integer
Source
https://www.ilo.org/wcmsp5/groups/public/—dgreports/—stat/documents/presentation/wcms_331153.pdf
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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