Affiliation:
1. Georgetown University (email: )
2. University of California Davis and NBER (email: )
3. INSE at Peking University (email: )
Abstract
Many price indices must be constructed without quantity data at the elementary level. The paper shows that for some consumer goods in the United States and other countries, one can approximate expenditure shares using weights derived from the retail distribution of sellers. These weights are based on the share of outlets selling an item, or the share of outlets adjusted by the total number of items sold in each. Relative to using no weights, the paper finds that using such imputed weights substantially reduces bias in the frequency of price changes, in annual inflation, and in price comparisons across countries. (JEL E31, L11, L81, O11, O14)
Publisher
American Economic Association
Subject
Economics and Econometrics
Reference27 articles.
1. Antoniades, Alexis. 2016. "International Price Comparisons: Lessons from Scanner Data." Presented at the World Bank Future of Price Statistics: Innovations in Data, Technology, and Methods seminar, Washington, DC, March 30.
2. Antoniades, Alexis, Robert C. Feenstra, and Mingzhi (Jimmy) Xu. 2022. "Replication Data for: Using the Retail Distribution of Sellers to Impute Expenditure Shares." American Economic Asssociation [publisher], Inter-university Consortium for Political and Social Research [distributor]. https://doi. org/10.3886/E163361V1.
3. EXCHANGE RATE PASS-THROUGH INTO RETAIL PRICES
4. Online and official price indexes: Measuring Argentina's inflation
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sanctions and Russian online prices;Journal of Economic Behavior & Organization;2024-09
2. Micro‐responses to shocks: pricing, promotion, and entry*;The Scandinavian Journal of Economics;2023-06-27