We use the stochastic simulation algorithm, described in Judd, Maliar and Maliar (2009), and the cluster-grid algorithm, developed in Judd, Maliar and Maliar (2010a), to solve a collection of multi-country real business cycle models. The following ingredients help us reduce the cost in...

There is a substantial amount of microeconomic evidence documenting diferential responses oflabor supply across productivity groups. In partic-ular, more productive individuals: (i) enjoy ahigher employment rate, (ii) have a lower volatility of employment and (iii) spend less time workingat...

This paper presents an algorithm for solving nonlinear dynamic stochastic models that computes value function by simulations. We argue that the proposed algorithm can be a useful alternative to the existing methods in some applications.

This paper studies a complete-market version of the neoclassical growth model, where agents face idiosyncratic shocks to earnings. We show that if agents possess identical preferences of either the CRRA or the addilog type, then the heterogeneous-agent economy behaves as if there was a...

Euler-equation methods for solving nonlinear dynamic models involve parameterizing some policy functions. We argue that in the typical macroeconomic model with valuable leisure, labor function is particularly convenient for parameterizing. This is because under the labor-function...

Parametrized Expectation Algorithm (PEA) is a powerful tool for solving nonlinear stochastic dynamic models. However, it has an important shortcoming: it is not a contraction mapping technique and thus, does not guarantee finding the solution. We suggest a simple modification that enhances the...

Does a heterogeneous agents version of a neoclassical model with labor-leisure choice replicatethe distributions of consumption and working hours observed in the cross-sectional data? Doesincorporating heterogeneity enhance the aggregate performance of the representative agentmodel? We address...

This paper modifies the standard one-sector growth model with uninsurable idiosyncratic risk and liquidity constraints to include multiple types of quasi-geometric consumers. For a calibrated version of the model, we show that a modest difference between the quasi-geometric discounting...

First, we propose a more efficient implementation of the Smolyak method for interpolation, namely, we show how to avoid costly evaluations of repeated basis functions in the conventional Smolyak formula. Second, we extend the Smolyak method to include anisotropic constructions; this allows us to...

We introduce an envelope condition method (ECM) for solving dynamic programming problems. The ECM method is simple to implement, dominates conventional value function iteration and is comparable in accuracy and cost to Carroll’s (2005) endogenous grid method. Codes are available.