This paper presents a two-sector growth model of international trade that can account for the key features of the postwar world development experience. Two sectors represent the traditional primitive production and the modern sophisticated production. Due to increasing returns in the modern...

This paper studies a discrete-time utility maximization problem of an infinitely-lived quasi-geometric consumer whose labor income is subject to uninsurable idiosyncratic productivity shocks. We restrict attention to a first-order Markov recursive solution. We show that under the assumption of...

This paper studies the business cycle dynamics of the income and wealth distributions in the context of the neoclassical growth model where agents are heterogeneous in initial wealth and non-acquired skills. Our economy admits a representative consumer which enables us to characterize the...

We construct a general-equilibrium version of Krusell, Ohanian, Ríos-Rulland Violante’s (2000) model with capital-skill complementarity. To account forgrowth patterns observed in the data, we assume several sources of growthsimultaneously, specifically, exogenous growth of skilled and...

This paper studies how the EU Eastern enlargement can affect the economies of the old and the new EU members and the non-acceded countries in the context of a multi-country neoclassical growth model where Foreign Direct Investment (FDI) is subject to border costs. We assume that in the moment of...

We develop numerically stable and accurate stochastic simulation approaches for solving dynamic economic models. First, instead of standard least-squares methods, we examine a variety of alternatives, including least-squares methods using singular value decomposition and Tikhonov regularization,...

We introduce an algorithm for solving dynamic economic models that merges stochastic simulation and projection approaches: we use simulation to approximate the ergodic measure of the solution, we construct a fixed grid covering the support of the constructed ergodic measure, and we use...

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...

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.