dataMATCH

A collection of scanner data on the sale of sample artificial products.

datasets

Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020)
<doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.

Jacek Bia<c5><82>ek

PriceIndices

Calculating Bilateral and Multilateral Price Indexes

dataMATCH function

A data frame with 7 columns and 30 rows. The used variables are as follows:
<code>time</code> - Dates of transactions (Year-Month-Day)
<code>prices</code> - Prices of sold products [PLN]
<code>quantities</code> - Quantities of sold products [liters]
<code>codeIN</code> - Unique internal (retailer) product codes (data set contains 5 different codeINs)
<code>codeOUT</code> - Unique external product codes (data set contains 5 different codeOUTs)
<code>retID</code> - Unique codes identifying outlets/retailer sale points (data set contains 2 different retIDs)
<code>description</code> Descriptions of sold products (data set contains 3 different product descriptions)

dataMATCH: An artificial scanner data set for product matching

Description

Usage

Arguments

Format