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 in pricing frequency and choose algorithms that autonomously react to …

interaction in pricing for the Austrian retail gasoline market. Results from spatial autoregressive models suggest that the … pricing decisions of other stations. We conclude that centrality influences firms' pricing behavior and further find that the …

We study the pricing decision of firms in the presence of consumer inertia. Inertia can arise from habit formation …

arguments to learn about consumers' willingness to pay. We incorporate market pricing equilibrium conditions into this setting …

We examine the profitability of personalized pricing policies that are derived using different specifications of demand in … a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models … inputs. To compare pricing policies, we employ an inverse probability weighted estimator of profits that explicitly takes into …

We examine the profitability of personalized pricing policies that are derived using different specifications of demand … in a typical retail setting with consumer-level panel data. We generate pricing policies from a variety of models … inputs. To compare pricing policies, we employ an inverse probability weighted estimator of profits that explicitly takes …