Hostname: page-component-5b777bbd6c-gcwzt Total loading time: 0 Render date: 2025-06-20T12:53:06.768Z Has data issue: false hasContentIssue false

Auxiliary state method: theory and application

Published online by Cambridge University Press:  15 May 2025

Phuong V. Ngo*
Affiliation:
Department of Finance and Economics, Cleveland State University, Cleveland, OH, USA

Abstract

In this paper, I propose a new method called the auxiliary state method (ASM) for solving highly nonlinear dynamic stochastic general equilibrium (DSGE) models with state variables that exhibit a non-elliptical ergodic distribution. The ASM method effectively avoids most improbable states that, while never visited, can create issues for numerical methods. I then demonstrate the ASM method by applying it to a model with highly asymmetric nominal rigidities, which are necessary to match the skewness of the U.S. inflation distribution. The ASM method can handle the high level of asymmetry, whereas the standard projection method cannot. Additionally, the ASM method is significantly faster than the standard projection method.

Type
Articles
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Gourio, F. and Ngo, P. V. (2024) Downward nominal rigidities and bond premia. Working Paper.CrossRefGoogle Scholar
Judd, K. L. (1998) Numerical Methods in Economics. Cambridge, MA: MIT Press.Google Scholar
Judd, K., Maliar, L. and Maliar, S. (2011) Numerically stable and accurate stochastic simulation approaches for solving dynamic economic models. Quantitative Economics 2(2), 173210.CrossRefGoogle Scholar
Judd, L. K., Maliar, L., Maliar, S. and Valero, R. (2014) Smolyak method for solving dynamic economic models: lagrange interpolation, anisotropic grid and adaptive domain. Journal of Economic Dynamics and Control 44, 92123.CrossRefGoogle Scholar
Kim, J. and Ruge-Murcia, F. J. (2009) How much inflation is necessary to grease the wheels? Journal of Monetary Economics 56(3), 365377.CrossRefGoogle Scholar
Maliar, L. and Maliar, S. (2015) Merging simulation and projection approaches to solve high-dimensional problems with an application to a new Keynesian model. Quantitative Economics 6(1), 147.CrossRefGoogle Scholar
Miranda, M. J. and Fackler, L. P. (2002) Applied Computational Economics and Finance. Cambridge, MA: MIT Press.Google Scholar
Ngo, V. P. (2014) Optimal discretionary monetary policy in a micro-founded model with a zero lower bound on nominal interest rate. Journal of Economic Dynamics and Control 45, 4465.CrossRefGoogle Scholar
Rotemberg, J. (1982) Sticky prices in the United States. Journal of Political Economy 90(6), 11871211.CrossRefGoogle Scholar
Woodford, M. (2003) Interest and Prices: Foundations of a Theory of Monetary Policy. Princeton, NJ: Princeton University Press Google Scholar
Supplementary material: File

Ngo supplementary material

Ngo supplementary material
Download Ngo supplementary material(File)
File 138.7 KB