Temporary price reductions (sales) are common for many goods and naturally result in large increase in the quantity sold. We explore whether the data support the hypothesis that these increases are, at least partly, due to dynamic consumer behavior: at low prices consumers stockpile for future...

We report results from a validation study of Nielsen Homescan data. We use data from a large grocery chain to match thousands of individual transactions that were recorded by both the retailer (at the store) and the Nielsen Homescan panelist (at home). First, we report how often shopping trips...

Using novel data describing the healthfulness of household food purchases and the retail landscapes consumers face, we measure the role of access in explaining why wealthier and more educated households purchase healthier foods. We find that spatial differences in access, though significant, are...

The "debt-overhang hypothesis" - that households cut back more on their spending in a crisis when they have higher levels of outstanding mortgage debt (Dynan, 2012) - seems to be taken for granted by macroprudential authorities in several countries in their policy decisions, as well as by the...

In this paper we study consumption network effects. Does the consumption of our peers affect our own consumption? How large is such effect? What are the economic mechanisms behind it? We use long panel data on the entire Danish population to construct a measure of consumption based on...

A common problem in household finance is that households are often inactive in response to incentives. Mortgages are generally the largest household liability, and mortgage refinancing is an important channel for monetary policy transmission, so inactivity in this setting can be socially costly....

Sellers of new products are faced with having to guess demand conditions to set price appropriately. But sellers are able to adjust price over time and to learn from past mistakes. Additionally, it is not necessary that all goods be sold with certainty. It is sometimes better to set a high price...

We use unique price data to study how retailers react to underlying cost changes. Temporary sales account for 95% of price changes in our data. Simple models would, therefore, suggest that temporary sales play a central role in price responses to cost shocks. We find, however, that, in response...