Heterogeneity in Consumer Price Stickiness: A Microeconometric Investigation
Abstract
This paper examines heterogeneity in price stickiness using a large, original, set of individual price data collected at the retail level for the computation of the French CPI. To that end, we estimate, at a very high level of disaggregation, competing-risks duration models that distinguish between price increases, price decreases and product replacements. The main .ndings are the following: i) cross-product and cross-outlet-type heterogeneity in both the shape of the hazard function and the impact of covariates is pervasive ii) at the product-outlet type level, the baseline hazard function of a price spell is non-decreasing iii) there is strong evidence of state-dependence, especially for price increases.(This abstract was borrowed from another version of this item.)
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Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 25 (2007)
Issue (Month): (July)
Pages: 247-264
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Related research
Keywords:Other versions of this item:
- Denis Fougère & Hervé Le Bihan & Patrick Sevestre, 2006. "Heterogeneity in Consumer Price Stickiness : A Microeconometric Investigation," Working Papers 2006-26, Centre de Recherche en Economie et Statistique.
- Fougère, Denis & Le Bihan, Hervé & Sevestre, Patrick, 2005. "Heterogeneity in Consumer Price Stickiness: A Microeconometric Investigation," CEPR Discussion Papers 5300, C.E.P.R. Discussion Papers.
- Denis Fougère & Hervé Le Bihan & Patrick Sevestre, 2005. "Heterogeneity in consumer price stickiness - a microeconometric investigation," Working Paper Series 536, European Central Bank.
- Fougère, D. & Le Bihan, H. & Sevestre, P., 2005. "Heterogeneity in Consumer Price Stickiness: A Microeconometric Investigation," Working papers 137, Banque de France.
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
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