Template-type: ReDIF-Article 1.0
Author-Name: Vadim Grishchenko
Author-Email: grishchenkovo@cbr.ru
Author-Workplace-Name: Bank of Russia; HSE University
Author-Name: Ivan Krylov
Author-Email: krylovid@cbr.ru
Author-Workplace-Name: Bank of Russia; HSE University
Title: New Approaches to Measuring, Analysing, and Forecasting Prices: A Review of the Bank of Russia, NES, and HSE University Workshop
Abstract: At the end of March 2024, the Bank of Russia, the New Economic School, and the Bank of Russia's Department at the HSE University held the 11th international workshop titled 'New Approaches to Measuring, Analysing, and Forecasting Prices'. The workshop participants presented their research focused on inflation forecasting aided by machine learning and the use of new data to investigate price changes. The researchers discussed the effectiveness of machine learning algorithms compared with traditional econometrics.
Classification-JEL: E31, E50, D84, C11
Keywords: inflation, inflation expectations, structural transformation, machine learning
Journal: Russian Journal of Money and Finance
Pages: 92-111
Volume: 83
Issue: 2
Year: 2024
Month: June
DOI: 
File-URL: https://rjmf.econs.online/upload/iblock/726/itc36r3nugqqltexqui44us2h211mzi8/Measuring-Analysing-Forecasting-Prices.pdf
Handle: RePEc:bkr:journl:v:83:y:2024:i:2:p:92-111