We characterize optimal state-dependent pricing rules under various forms of infrequent information. In all models, infrequent price changes arise from the existence of a lump-sum “menu cost.” We entertain various alternatives for the source and nature of infrequent information. In two...

We characterize optimal state-dependent pricing rules under various forms of infrequent information. In all models, infrequent price changes arise from the existence of a lump-sum “menu cost.” We entertain various alternatives for the source and nature of infrequent information. In two...

We characterize optimal state-dependent pricing rules under various forms of infrequent information. In all models, infrequent price changes arise from the existence of a lump-sum "menu cost." We entertain various alternatives for the source and nature of infrequent information. In two benchmark...

We develop a tractable unified framework for solving optimal time- and state-dependent price-setting problems. We use it to study models with adjustment costs and infrequent information, entertaining various alternatives for the source and nature of infrequent information. In particular, we...

We study a unique dataset with comprehensive coverage of daily prices in large multi-product retailers in Israel. Retail stores synchronize price changes around occasional “peak” days when they reprice around 10% of their products. To assess aggregate implications of partial price...