A generalization of the endogenous grid method

This paper extends Carroll's [2005. The method of endogenous gridpoints for solving dynamic stochastic optimization problems. National Bureau of Economic Research Technical Working Paper 309]. endogenous grid method to perform value function iteration in models with more than one control variable. We propose to mix the endogenous grid method with standard value function iteration to achieve higher efficiency. We illustrate the method using the stochastic neoclassical growth model with and without labor-leisure choice. We report important gains in efficiency that make value function iteration an attractive computational method in terms of both computing time and accuracy.