We study the online contagion of exogenous demand shocks generated by book reviews featured on the Oprah Winfrey TV show and published in the New York Times, through the co-purchase recommendation network on Amazon.com. These exogenous events may ripple through and affect the demand for a...

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 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 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...

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 phenomenon of sponsored search advertising where advertisers pay a fee to Internet search engines to be displayed alongside organic (non-sponsored) web search results is gaining ground as the largest source of revenues for search engines. Using a unique panel dataset of several hundred...

Using a large data set on consumers' web browsing and purchasing behavior we contrast various classical search models. We find that the benchmark model of sequential search with a known distributions of prices can be rejected based on the recall patterns we observe in the data. Moreover, we show...

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...

This paper uses consumer search data to explain search frictions in online markets, within the context of an equilibrium search model. I use a novel dataset of consumer online browsing and purchasing behavior, which tracks all consumer search prior to each transaction. Using observed search...