We study changes in markups across 72 product markets from 2006 to 2018. A growing literature has documented a rise in markups over time using a production function approach; we instead employ the standard microeconomic method, which is to estimate demand and then invert firms' first-order...

We propose a method to augment conventional demand estimation approaches with crowd-sourced data on the product space. Our method obtains triplets data (“product A is closer to B than it is to C”) from an online survey to compute an embedding—i.e., a low-dimensional representation of the...

Changes in technologies for reproducing and redistributing digital goods (e.g., music, movies, software, books) have dramatically affected profitability of these goods, and raised concerns for future development of socially valuable digital products. However, broader illegitimate distribution of...

This paper studies the role of consumer learning in the demand for recorded music by examining the impact of an artist%u2019s new album on sales of past and future albums. Using detailed album sales data for a sample of 355 artists, we show that the release of a new album increases sales of old...