Competition among multi-store chains is common in retail industries. This paper proposes a method for estimating a model of strategic store-network choices by two chains. In contrast to previous studies, I allow chains to not only choose which markets to enter but also how many stores to open in...

This paper advances our collective knowledge about the role of learning in retail agglomeration. Uncertainty about new markets provides an opportunity for sequential learning, where one firm's past entry decisions signal to others the potential profitability of risky markets. The setting is...

We consider some two dynamic models of entry in mobile telephony, with and without strategic pricing, and taking into account market penetration at entry, locked-in consumers and tariff-mediated network externalities. We show that on/off-net differentials may reduce the possibility of entry if...

We analyze the behavior of start-ups in e-commerce, namely on Austria's leading price-comparison-site, a multi-product environment with almost complete information. We use weekly panel data on price-quotes of digicams, Audio/HiFi-equipment and hardware. We furthermore use advanced estimation...

As auctions are becoming the main mechanism for selling advertisement space on the web, marketing agencies specialized in bidding in online auctions are proliferating. We analyze theoretically how bidding delegation to a common marketing agency can undermine both revenues and efficiency of the...

We study firm performance dynamics in retail growth using a dynamic model of expansion that allow these dynamics to operate through an unobserved serially correlated process. The model is estimated with data on convenience-store chain diffusion across Japanese prefectures from 1982 to 2012,...

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...

The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumer-generated product reviews have become a valuable source of information for customers, who read the reviews and decide whether to buy the product based on the information...

The aim of this research is to analyze whether and when ratings are informative signals about the quality of movies. The ratings data of Netflix is used to fit a structural Bayesian learning model. This model links revealed experience utilities of raters, previous consumers, to the product...

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...