This paper investigates the link between product quality and price setting for central processing units (CPUs). Using thousands of price quotes from a popular price-comparison website, we find that market fundamentals, such as the number of sellers, median price, share of convenient prices and...

This paper addresses the pricing problem of an online service marketplace under asymmetric information. An example is an online learning platform such as Coursera that provides courses from suppliers (in this case, universities) to learners. We focus on the matching function of the marketplace...

Why do consumers value shopping online? We decompose the value of e-commerce to individual consumers and highlight the role of convenience, i.e., the avoidance of transportation costs. We complement household purchase panel data with precise locations of consumers and stores, and show that...

In this paper, we first develop a game theoretic model of price competition between a pure play e-tailer and a bricks-and-clicks e-tailer. We show that in general, the pure play e-tailer has a lower equilibrium price. We then develop a simultaneous equation model of e-tailer price and traffic...

We study optimal cartel prices in a two-sided market. We present a simple model showing that prices above the two-sided monopoly price may prevail on one side of a two-sided market as a means to enhance the sustainability of the cartel. We prove that in such a case a higher benefit from the...

In this study the dynamics of online product ratings is modeled based on the data for 59 items from 20 product categories. We account not only for the context dependence of subsequent reviews on previously posted reviews, but also for product type (search product or experience product). We...

The rise of dominant firms in data driven industries is often credited to their alleged data advantage. Empirical evidence lending support to this conjecture is surprisingly scarce. In this paper we document that data as an input into machine learning tasks display features that support the...

This paper examines price data on over 222 LCD televisions to estimate indirect network effects arising from two sources. First, we conjecture that the disconnect between the timing of when broadcasters are required to convert to an only-digital-signal world and when television manufacturers are...

Increasingly, retailers have access to better pricing technology, especially in online markets. Firms employ automated pricing algorithms that allow for high-frequency price changes. What are the implications for price competition? We develop a model of price competition where firms can differ...

This paper assesses a common view that has surfaced recently in a growing number of Government, industry and academic studies, that first claims streaming media services are likely to have adversely affected competition in media markets (both screen and music), and second recommends additional...