Template-type: ReDIF-Article 1.0
Author-Name: Alexey S. Evseev
Author-Workplace-Name: Russian Presidential Academy of National Economy and Public Administration
Author-Name: Rodion R. Latypov
Author-Workplace-Name: JSC Arowana Capital
Author-Name: Egor A. Postolit
Author-Workplace-Name: JSC Arowana Capital
Author-Name: Elena S. Sinelnikova-Muryleva
Author-Workplace-Name: Russian Presidential Academy of National Economy and Public Administration
Title: Technical and Methodological Challenges of Collecting Price Data from Online Retailers
Title: Технические и методологические проблемы сбора данных о ценах онлайн-ритейлеров
Abstract: Price data from online retailers is a valuable source for economics. The use of these data makes it possible to refine inflation forecasts and anticipate future trends in the moment, refine estimates of price rigidity and the conclusions of theoretical pricing models, and test the law of one price. However, there are major difficulties in the data collection process that are not obvious and can threaten both the quality of the data collected and the sustainability of the collection process over time.
The article, for the first time in the literature, discusses in detail the technical and methodological problems that impede the continuous collection of data on the network and presents our experience in solving these problems. The pros and cons of solutions to emerging problems are discussed.
The article was written on the basis of the RANEPA state assignment research programme for 2022.
Keywords: prices of online retailers, web-scrapping, inflation, alternative data, big data
Classification-JEL: C81, C82, E31, C55
Journal: Russian Economic Developments
Year: 2022
Issue: 11
Month: November
Pages: 36-45
File-URL: http://www.iep.ru/files/RePEc/gai/recdev/r2295.pdf
File-Format: Application/pdf
Handle: RePEc:gai:recdev:r2295