We analyze the impact of an increase in the legal retirement age on the effective retirement age in the Netherlands. We do this by means of a dynamic programming model for the retirement behavior of singles. The model is applied to new administrative data that contain very accurate and detailed...

We develop a model of household demand for frequently purchased consumer goods that are branded, storable and subject to stochastic price fluctuations. Our framework accounts for how inventories and expectations of future prices affect current period purchase decisions. We estimate our model...

We consider the problem of dynamic portfolio optimization in a discrete-time, finite-horizon setting. Our general model considers risk aversion, portfolio constraints (e.g., no short positions), return predictability, and transaction costs. This problem is naturally formulated as a stochastic...

We study the problem faced by a supplier deciding how to dynamically allocate limited capacity among a portfolio of customers who remember the fill rates provided to them in the past. A customer's order quantity is positively correlated with past fill rates. Customers differ from one another in...

Consumers become satiated with a product when purchasing too much too quickly. How much is too much and how quickly is too quickly depends on the characteristics of the product relative to the time interval between consumption periods. Knowing that, consumers allocate their budget to products...

We introduce the pathwise optimization (PO) method, a new convex optimization procedure to produce upper and lower bounds on the optimal value (the "price") of a high-dimensional optimal stopping problem. The PO method builds on a dual characterization of optimal stopping problems as...

We consider a finite-horizon, multiechelon inventory system in which the surplus of stock can be sold (i.e., disposed) in the secondary markets at each stage in the system. What are called <i>nested echelon order-up-to policies</i> are shown to be optimal for jointly managing inventory replenishments...

Sequential sampling problems arise in stochastic simulation and many other applications. Sampling is used to infer the unknown performance of several alternatives before one alternative is selected as best. This paper presents new economically motivated fully sequential sampling procedures to...

In diagnostic services, agents typically need to weigh the benefit of running an additional test and improving the accuracy of diagnosis against the cost of delaying the provision of services to others. Our paper analyzes how to dynamically manage this accuracy/congestion trade-off. To that end,...

The Energy Box is proposed as a 24/7 background processor operating on a local computer or in a remote location, silently managing one's home or small business electrical energy usage hour-by-hour and even minute-by-minute. It operates best in an environment of demand-sensitive real-time...