valueDecomposition: valueDecomposition
In IndexNumR: Index Number Calculation

Description Usage Arguments Value Examples

Perform a decomposition of value change using price and quantity indicators. This is an additive decomposition so that change due to price plus change due to quantity equals the total value change.

valueDecomposition(
  x,
  pvar,
  qvar,
  pervar,
  prodID,
  priceMethod,
  sample = "matched"
)

`x`	data frame with input data
`pvar`	character string for the name of the price column
`qvar`	character string for the name of the quantity column
`pervar`	character string for the name of the time period variable
`prodID`	character string for the name of the product ID column
`priceMethod`	character string for the price indicator method. Valid options are "laspeyres", "paasche", "bennet", or "montgomery". This parameter also determines the method used for the quantity indicator. If a laspeyres price indicator is chosen, then a paasche quantity indicator is used. If a paasche price indicator is used then a laspeyres quantity indicator is used. For bennet and montgomery indicators, the same method is used for both the price and quantity indicators.
`sample`	whether to use a matched sample (sample = "matched")

a dataframe containing the price indicator, quantity indicator the value change and the value level.

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# decompose the value changes in the CES_sigma_2 dataset using the Bennet method
valueDecomposition(CES_sigma_2, pvar = "prices", qvar = "quantities",
prodID = "prodID", pervar = "time", priceMethod = "bennet")