We analyze price dispersion using panel data from a large price comparison site. We use past pricing behavior to instrument for potential endogeneity that might result from the selection of firms to certain product markets. We find that greater price adjustment costs result in greater price dispersion. Although the impact of price adjustment costs on price dispersion became weaker over time, the causal effect of price adjustment costs on price dispersion is still present at the end of the period. Our results are robust to many alternative empirical specifications. We also test a range of alternative explanations of price dispersion, such as search cost, service differentiation, obfuscation, vertical restraints, and market structure.

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The choice of an appropriate e‐commerce strategy for the listing in price comparison platforms (eBay, Amazon, and price search engines) is crucial for the survival of online stores in B2C e‐commerce business. We use a comprehensive dataset from the Austrian price search engine geizhals.at to identify successful e‐commerce strategies with regard to these listing decisions. An e‐commerce strategy is a set of choices including the listing decision, availability decision, and decisions on a price path and shipping cost. We apply cluster analysis to identify the different strategies that have been used by online retailers. Using various success measures such as revenue, clicks, market share, and the survival of firms, as dependent variables in our regression analyses, we present causal evidence on the effectiveness of different e‐commerce strategies.

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