We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food pr[...]

Replication data and code for Cavallo, A., & Kryvtsov, O. (2024). Price discounts and cheapflation during the post-pandemic inflation surge. Journal of Monetary Econo[...]

We study soft information contained in congressional testimonies by the Federal Reserve Chairs and analyze its effects on financial markets. Using machine learning, we co[...]

We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020–2022 pand[...]

Supplementary material for "More Than Words: Fed Chairs’ Communication During Congressional Testimonies" by Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov, Xu Zhang ([...]

We study a unique dataset with comprehensive coverage of daily prices in large multi-product retailers in Israel. Retail stores synchronise price changes around occasiona[...]

Replication package for peer-reviewed article published in The Economic Journal. Paper published online December 12, 2022. When citing this dataset, please also cite the [...]

Price selection is a simple, model-free measure of selection in price setting. It exploits comovement between inflation and the level from which adjusting prices departed[...]

The causal effects of central bank communication on economic expectations and their underlying mechanisms are tested in controlled laboratory experiments. We find that ce[...]

Macroeconomists traditionally ignore temporary price markdowns (“sales”) under the assumption that they are unrelated to aggregate phenomena. We revisit this view. First,[...]