The use of automated algorithms allows online shops to change product prices at short notice, depending on various parameters; this type of price-setting is known as dynamic pricing. At present, roughly 10 000 online prices are collected each month by the German Federal Statistical Office (FSO)...

Aim/purpose - Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using...

Using data gathered through web scraping techniques, this paper characterizes product categories' frequency, size and dispersion of price changes in eight retail chains in Mexico, and compare them with price statistics stemming from brick and mortar stores data of the same retailers. Notably,...

Are survey-based forecasts unbeatable? They are not. This paper introduces online price indices to forecast the Consumer Price Index. We find that online price indices anticipate changes in official inflation trends more than one month in advance. Our baseline one-month and two-month-ahead...

We use Adobe Analytics data on online transactions for millions of products in many different categories from 2014 to 2017 to shed light on how online inflation compares to overall inflation, and to gauge the magnitude of new product bias online. The Adobe data contain transaction prices and...

We use Adobe Analytics data on online transactions for millions of products in many different categories from 2014 to 2017 to shed light on how online inflation compares to overall inflation, and to gauge the magnitude of new product bias online. The Adobe data contain transaction prices and...