We use Adobe Analytics data on online transactions for millions of products in many different categories from 2014 to 2017 to shed light on how online inflation compares to overall inflation, and to gauge the magnitude of new product bias online. The Adobe data contain transaction prices and...

In this paper we examine the importance of local spillovers such as network externalities and learning from others in the diffusion of home computers using data on 110,000 U.S. households in 1997. Controlling for many individual characteristics, we find that people are more likely to buy their...

For some goods, the main cost of buying the product is not the price but rather the time it takes touse them. Only about 0.2% of consumer spending in the U.S., for example, went for Internet accessin 2004 yet time use data indicates that people spend around 10% of their entire leisure time...