E-commerce platforms, such as Amazon, Alibaba and Flipkart, that match sellers and consumers at an unprecedented scale, operate their internal search engines to help buyers find relevant products from a large number of sellers, and also allow sellers to advertise to consumers for positions in...

I address the degree to which variation in exposure to e-commerce is associated with entry and exit in the retail industry at the county level. To measure exposure to e-commmerce, I rely on within-state variation in relative search frequency for the phrase “amazon prime” as reported by...

Consider a retailer using sponsored search marketing together with dynamic pricing. The retailer’s bid on a search keyword affects the retailer’s rank among the search results. The higher the rank, the higher the customer traffic and the customers’ willingness-to-pay will be. Thus, the...

We study the optimal algorithm decisions of a platform on ranking products sold by sellers--who may use fake sales to boost the rankings of their products--and the impact on consumers and sellers. We design a model of an online retail marketplace with competing sellers. The platform decides...