Product Life Cycle, Learning, and Nominal Shocks

成果类型:
Article
署名作者:
Argente, David; Yeh, Chen
署名单位:
Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; Federal Reserve System - USA; Federal Reserve Bank - Richmond
刊物名称:
REVIEW OF ECONOMIC STUDIES
ISSN/ISSBN:
0034-6527
DOI:
10.1093/restud/rdac004
发表日期:
2022
页码:
2992-3054
关键词:
menu costs monetary nonneutrality inflation dynamics business-cycle price demand models approximations uncertainty propagation
摘要:
This article documents a new set of stylized facts on how pricing moments depend on product age and emphasizes how this heterogeneity is crucial for the amplification of nominal shocks to the real economy. Exploiting information from a unique panel containing billions of transactions in the US consumer goods sector, we show that our empirical findings are consistent with a narrative in which firms face demand uncertainty and learn through prices. Such a mechanism of active learning from prices can strongly influence an economy's aggregate price level and can thus be important for assessing the degree of monetary non-neutrality. To quantify this, we build a general equilibrium menu cost model with active learning and exogenous entry that features heterogeneity in pricing moments over the life cycle of products. Under this setup, firms engage in active learning to deal with uncertainty on their demand curves. Firms choose prices not only to maximize static profits but also to create signals to obtain valuable information on their demand. In the calibrated version of our model, the cumulative real effects of a nominal shock are approximately three times as large compared to a standard price-setting model. The main intuition behind this result is that active learning weakens the selection effect. Price changes are mainly determined by forces of active learning and, hence, become more orthogonal to aggregate shocks, which reduces the aggregate price flexibility of the economy.