My comments on the keynote paper by Michael Keane.

This paper provides an empirical analysis of how the U.S. Social Security and Medicare insurance system affect the labor supply of older males in the presence of incomplete markets for loans, annuities, and health insurance. Using data from the Retirement History Survey, we estimate a detailed...

This paper estimates a dynamic model of price discrimination and inventory investment under incomplete information. The model is motivated from an empirical analysis of operations of daily observations on inventories, sales, and purchases of over 2,300 individual products by a U.S. steel...

This paper studies the impact of the March 1979 Three Mile Island (TMI) accident on the regulation of nuclear power plants (NPPs) and its consequences for the operating behavior and profitability of the U.S. nuclear power industry. We treat the TMI accident as a ``natural experiment'' that...

This paper presents a dynamic programming (DP) model of optimal operation of a nuclear power plant (NPP). In each period the operator decides whether to run the reactor at a given capacity level, to shut it down for preventive maintenance or refueling, or permanently close the plant for...

This paper introduces random versions of successive approximations and multigrid algorithms for computing approximate solutions to a class of finite and infinite horizon Markovian decision problems (MDPs). We prove that these algorithms succeed in breaking the curse of dimensionality for a...

This paper presents a dynamic programming (DP) model of an electric utility's optimal policy for operating a nuclear power plant (NPP). The utility chooses the level of capacity utilization of the NPP as a function of signals about the NPP's current operating state. In each period the utility...

This paper studies the econometric problems associated with estimation of a stochastic process that is endogenously sampled. Our interest is to infer the law of motion of a discrete-time stochastic process {p_t} that is observed only at a subset of times {t_1,...,t_n} that depend on the outcome...

In many dynamic programming problems, a mix of state variables exists - some exhibiting stochastic cycles and others having deterministic cycles. We derive a formula for the value function in infinite-horizon, stationary, Markovian decision problems by exploiting a special partitioned-circulant...