Résumé
The adoption of barcode scanning technology in the 1970's gave rise to a new form of data; scanner data. Soon afterwards researchers began using this new resource, and since then a large number of papers have exploited scanner data. The data provide detailed price, quantity and product characteristic information for completely disaggregate products at high frequency and typically either track a panel of stores and/or consumers. Their availability has led to advances, inter alia, in the study of consumer demand, the measurement of market power, firms' strategic interactions and decision-making, the evaluation of policy reforms, and the measurement of price dispersion and in ation. In this article we highlight some of the pro and cons of this data source, and discuss some of the ways its availability to researchers has transformed the economics literature.
Mots-clés
scanner data, demand estimation, market power, policy counterfactual, inflation;
Codes JEL
- C80: General
- D12: Consumer Economics: Empirical Analysis
- D22: Firm Behavior: Empirical Analysis
- E31: Price Level • Inflation • Deflation
- L10: General
Remplace
Pierre Dubois, Rachel Griffith et Martin O'Connell, « The Use of Scanner Data for Economics Research », TSE Working Paper, n° 22-1286, janvier 2022, révision mars 2022.
Référence
Pierre Dubois, Rachel Griffith et Martin O'Connell, « The Use of Scanner Data for Economics Research », Annual Review of Economics, vol. 14, août 2022.
Voir aussi
Publié dans
Annual Review of Economics, vol. 14, août 2022