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Sample price quotes and expenditure for a generic, multi-period sample

Source: R/data.R
sampledata_multi_period.Rd

Sample price quotes and expenditure shares for 2 periods, 5 regions, 5 product groups, and 5 generic products, created using the rdata() function from the pricelevels package; see Weinand (2025) .

Usage

sampledata_multi_period

Format

A data frame with 250 rows and 8 columns containing the variables

  • "period" (the temporal identifier),

  • "heading" (typically in reference to the COICOP or related classification),

  • "region" (the subnational, spatial identifier),

  • "product" (the generic product for which price quotes are surveyed),

  • "price" (the reported price quote),

  • "quantity" (the reported quantity of the surveyed product),

  • "sale" (a sales flag), and

  • "exp_wght" (the generic expenditure shares for the corresponding heading and region).

Source

See R package pricelevels: Spatial Price Level Comparisons

References

Weinand S (2025). pricelevels: Spatial Price Level Comparisons. doi:10.32614/CRAN.package.pricelevels . R package version 1.4.0, https://CRAN.R-project.org/package=pricelevels.

Examples

sampledata_multi_period |> dim()
#> [1] 250   8
sampledata_multi_period |> names()
#> [1] "period"   "heading"  "region"   "product"  "price"    "quantity" "sale"    
#> [8] "exp_wght"
sampledata_multi_period |> head()
#> # A tibble: 6 × 8
#>   period   heading   region   product price quantity sale  exp_wght
#>   <chr>    <fct>     <fct>    <fct>   <dbl>    <dbl> <lgl>    <dbl>
#> 1 period_1 heading_1 region_1 item_01 35.6      3317 FALSE   0.0738
#> 2 period_1 heading_1 region_2 item_01 11.6      6849 FALSE   0.0687
#> 3 period_1 heading_1 region_3 item_01  6.28    25953 FALSE   0.0687
#> 4 period_1 heading_1 region_4 item_01 18.0      2765 FALSE   0.0631
#> 5 period_1 heading_1 region_5 item_01 13.9      5989 FALSE   0.0673
#> 6 period_1 heading_1 region_1 item_02 18.4      6417 FALSE   0.0738