1. The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence
   
   
2. Public-Policy Uses of Discrete-Choice Dynamic Programming Models
   
   
3. Interpolating Value Functions in Discrete Choice Dynamic Programming Models
   
   
4. A Comparison of Policy Iteration Methods for Solving Continuous-State, Infinite-Horizon Markovian Decision Problems Using Random, Quasi-random, and Deterministic Discretizations
   
   
5. Lecture note for: A Comparison of Policy Iteration Methods for Solving Continuous-State, Infinite-Horizon Markovian Decision Problems Using Random, Quasi-random, and Deterministic Discretizations
   
   
6. Estimating Dynamic Models of Imperfect Competition by PATRICK BAJARI , C. LANIER BENKARD and JONATHAN LEVIN, 10450