Rail cost function analysis has been a popular topic in the (empirical) economics literature over the past decades …. Most studies find increasing returns to density for rail companies. The results can, however, be quite diverse. Results for …

their independence properties and by extending standard solution methods of dynamic programming problems to non …

make possible the application of a simple dynamic programming recursion procedure. …The paper deals with the analysis of a special dynamic production and inventory model. In this model logical …

minor set-up cost. We work out the necessary and suffcient solvability conditions and apply the general dynamic programming …

We consider a model for a serial supply chain in which production, inventory, and transportation decisions are … integrated, in the presence of production capacities and for different transportation cost functions. The model we study is a …, as well as multiple intermediate storage levels (including the retailer level), and transportation between these levels …

In this paper we present a polynomial time dynamic programming algorithm for solving a scheduling problem with a (total …

We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic … Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the … DP problem and estimates the parameters simultaneously. As a result, the computational burden of estimating a dynamic …

This paper develops dynamic structural models - an option value model and a dynamic programming model - of the Social … out-of-sample predictive accuracy, our option value model performs better than both our dynamic programming model and our …