productChanges

This function will give the product ID's of products that appear
or disappear in each period.

Computes bilateral and multilateral index numbers.
It has support for many standard bilateral indexes as well as
multilateral index number methods such as GEKS, GEKS-Tornqvist
(or CCDI), Geary-Khamis and the weighted time product dummy
(for details on these methods see Diewert and Fox (2020)
<doi:10.1080/07350015.2020.1816176>).
It also supports updating of multilateral indexes using
several splicing methods.

Graham White

IndexNumR

Index Number Calculation

productChanges function

<dl><dt>x</dt>
<dd>A dataframe containing price, quantity, a time period identifier
and a product identifier. It must have column names.</dd>
<dt>pervar</dt>
<dd>A character string for the name of the time variable. This variable
must contain integers starting at period 1 and increasing in increments of 1 period.
There may be observations on multiple products for each time period.</dd>
<dt>prodID</dt>
<dd>A character string for the name of the product identifier</dd></dl>

Arguments

Product ID's for appearing/disappearing products — productChanges

<dl>

<dt>x</dt>
<dd>A dataframe containing price, quantity, a time period identifier
and a product identifier. It must have column names.</dd>


<dt>pervar</dt>
<dd>A character string for the name of the time variable. This variable
must contain integers starting at period 1 and increasing in increments of 1 period.
There may be observations on multiple products for each time period.</dd>


<dt>prodID</dt>
<dd>A character string for the name of the product identifier</dd>

</dl>

productChanges: Product ID's for appearing/disappearing products

Description

Usage

Value

Arguments

Examples