CES_sigma_2

A constructed dataset containing the prices and quantities of
four products over a twelve month period, assuming CES preferences.

datasets

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

CES_sigma_2 function

A data frame with 48 rows and 4 columns:<dl>
 <dt>time</dt>
<dd>time period</dd> <dt>prices</dt>
<dd>constructed prices</dd> <dt>quantities</dt>
<dd>constructed quantities</dd> <dt>prodID</dt>
<dd>product identifier</dd>
</dl>

Format

Dataset of prices and quantities on four products — CES_sigma_2

A data frame with 48 rows and 4 columns:<dl>
 <dt>time</dt>
<dd>time period</dd>

 <dt>prices</dt>
<dd>constructed prices</dd>

 <dt>quantities</dt>
<dd>constructed quantities</dd>

 <dt>prodID</dt>
<dd>product identifier</dd>


</dl>

CES_sigma_2: Dataset of prices and quantities on four products

Description

Usage

Arguments

Format