A nonparametric approach to solving a simple one-sector stochastic growth model

DOI10.1016/J.ECONLET.2014.10.011zbMath1311.91148OpenAlexW1986484691MaRDI QIDQ2345270

Philip Shaw

Publication date: 19 May 2015

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2014.10.011

zbMATH Keywords

computational methodsnonparametric econometricsparameterized expectations algorithmstochastic general equilibrium model

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Economic growth models (91B62) General equilibrium theory (91B50)

Cites Work

• Unnamed Item
• Nonparametric estimation of distributions with categorical and continuous data
• Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models
• Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm

This page was built for publication: A nonparametric approach to solving a simple one-sector stochastic growth model