In this article, we provide a novel measure of product differentiation by observing consumer search behavior directly. We track individual consumers in a price search engine and generate a measure of distance in product space, based on goods surveyed conjointly within individual search episodes....

In many (online) markets, consumers can readily observe prices, but need to examine individual products at positive cost in order to assess how well they match their needs. We propose a tractable model of price-directed sequential search in a market where firms compete in prices. Each product...

We study a novel trade-off in market transparency regulation by estimating a structural model of the German retail gasoline market. Transparent environments enable easy price comparisons and match findings. Restricting transparency such that only the cheapest offers are shown induces firms to...

This study constructs a sequential consumer search model with differentiated products in which some consumers search for a single product while the others search for multiple products. When the mass of consumers who demand one of the products decreases, the price for one product decreases while...

Especially in many online markets, consumers can readily observe prices, but may need to further inspect products to assess their suitability. We study the effects of product differentiation and search costs on competition and market outcomes in a tractable model of price-directed consumer...

We analyze competition on nonlinear prices in homogeneous goods markets with consumer search. In equilibrium firms offer two-part tariffs consisting of a linear price and lump-sum fee. The equilibrium production is socially efficient as the linear price of equilibrium two-part tariffs equals to...

Platforms play an essential role in the modern economy. At the same time, algorithms are becoming more widely used for pricing and other business functions. Previous literature examined algorithmic pricing, but not in the context of network effects and platforms. Moreover, platform competition...

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...

We analyze pricing patterns and price level effects of algorithms in the market segments for OTC-antiallergics and -painkillers in Germany. Based on a novel hourly dataset which spans over four months and contains over 10 million single observations, we produce the following results. First,...

Recent experimental simulations have shown that autonomous pricing algorithms are able to learn collusive behavior and thus charge supra-competitive prices without being explicitly programmed to do so. These simulations assume, however, that both firms employ the identical price-setting...