Planned experiments are the gold standard in reliably comparing the causal effect of switching from a baseline policy to a new policy. One critical shortcoming of classical experimental methods, however, is that they typically do not take into account the dynamic nature of response to policy changes. For instance, in an experiment where we seek to understand the effects of a new ad pricing poli...

We consider a firm that sells a large number of products to its customers in an online fashion. Each product is described by a high dimensional feature vector, and the market value of a product is assumed to be linear in the values of its features. Parameters of the valuation model are unknown and can change over time. The firm sequentially observes a product’s features and can use the historic...

In online direct selling, a customer will not experience the product when making the purchase decision. Concerns about product quality and the return policy may prevent the customer from buying the product. In this paper, we develop several theoretical models to examine the impact of online distributor's return policy, product quality and pricing strategy on the customer's purchase and the retu...

Most companies prefer to use absorption costing rule rather than marginal cost pricing. This article is aimed at defining the absorption costing rule as deriving from a principal-agent formulation of two tier organizations : (i) the upstream unit fixes the production capacity and uses it as a cost driver to compute the average cost (ii) the downstream unit operates on the market and chooses the...

Economists have long advocated congestion pricing as an efficient way of allocating scarce roadway capacity. However, with a few exceptions, congestion tolls are rarely used in practice and strongly opposed by the public and elected officials. Although high implementation costs and privacy issues are alleviated as appropriate technologies are developed, the concerns that congestion pricing will...

Consider the pricing decision for a manager at large online retailer, such as Amazon.com, that sells millions of products. The pricing manager must decide on real-time prices for each of these product. Due to the large number of products, the manager must set retail prices without complete demand information. A manager can run price experiments to learn about demand and maximize long run profit...

Consider the pricing decision for a manager at large online retailer, such as Amazon.com, that sells millions of products. The pricing manager must decide on real-time prices for each of these product. Due to the large number of products, the manager must set retail prices without complete demand information. A manager can run price experiments to learn about demand and maximize long run profit...

We compare personalized and history-based pricing and show that personalized pricing harms consumer surplus and total welfare when evaluated over a two-period horizon. The model is characterized by two key features: 1. The discounted two-period profits are invariant to whether personalized or history-based pricing is applied because higher period-2 profits with personalized pricing are offset b...

Using time series data over the past four decades, 1960s-1990s, this paper examines rice pricing policies in Thailand, Indonesia, and the Philippines. It analyzes the determinants of the paths along which these policies have moved. While this analysis confirms the findings of previous analyses, that price stabilization has been a major policy achievement, it also reveals that stabilization was ...