pb_index: Bilateral Price Indexes
In dfvad: Diewert and Fox's Method of Value Added Growth Decomposition

Description Usage Arguments Value Examples

Bilateral indexes refer to the case when only two periods are compared each time. pb_index() computes price indexes in a bilateral approach.

1	pb_index(df, p, qty, id, tm, typ = "f", seq = "ch", bsk = "flx")

`df`	A data frame sorted by the time period column.
`p`	A string indicating the price column.
`qty`	A string indicating the quantity column.
`id`	A string indicating the identity column.
`tm`	A string indicating the time period column. Each period must contain two observations at least.
`typ`	Relevant types of price indexes. Options include "f" for Fisher price indexes (by default), "t" for Tornqvist price indexes, "l" for Laspeyres price indexes, and "p" for Paasche price indexes.
`seq`	Index construction sequences when the number of periods is larger than 2. Options include "ch" for chained indexes (by default), and "fb" for fixed base indexes.
`bsk`	The choice of baskets when items are not matched over multiple periods. Options include "flx" (by default) for a flexible basket that varies depending on the maximal number of matched items in two periods each time, and "cst" for a constant basket that takes the maximal number of matched items across all periods.

A data frame consisting of the time period and price indexes.

# Use the built-in data set "prices"
# Laspeyres fixed base indexes with a constant basket
df <- prices[[1]]
df <- df[order(df[,"t"]),]
index1 <- pb_index(df, "p", "q", "id", "t", typ = "l", seq = "fb", bsk = "cst")
# Fisher chained indexes with a flexible basket
df <- prices[[2]]
df <- df[order(df[,"t"]),]
index2 <- pb_index(df, "p", "q", "id", "t")