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

Philip Shaw ()

Economics Letters, 2014, vol. 125, issue 3, 447-450

Abstract: In this paper we present a nonparametric approach to solving a simple one-sector stochastic growth model. A distinct advantage of our approach is that it does not require placing restrictions on the generally unknown conditional expectations functions. Our method is shown to be accurate and computationally stable when compared to the standard Parameterized Expectations Approach (PEA) and the traditional linear approximation. We demonstrate this using a simple stochastic general equilibrium model with a known solution.

Keywords: Nonparametric econometrics; Computational methods; Parameterized expectations algorithm (search for similar items in EconPapers)
JEL-codes: C63 C68 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:125:y:2014:i:3:p:447-450

DOI: 10.1016/j.econlet.2014.10.011

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