Replication Data for: A tractable framework for analyzing a class of nonstationary Markov models

The package contains the MATLAB implementation of the Extended Function Path (EFP) algorithm developed in “A Tractable Framework for Analyzing a Class of Nonstationary Markov Models” (Quantitative Economics, 2020, Volume 11, Issue 4 pp. 1289-1323). The software provides a complete, replicable computational framework for solving a nonstationary neoclassical stochastic growth model with labor-augmenting technological progress. It includes: - A main script (Main_EFP.m) implementing the EFP solution and comparing it with the balanced growth path benchmark. - Numerical integration routines using Gauss–Hermite quadrature. - Polynomial basis construction modules for multidimensional approximation. - A predefined Smolyak sparse grid for efficient state-space approximation. - A shock simulation file (epsi.mat) enabling reproducible stochastic simulations and performance comparisons.