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  4. Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative
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Exploiting MIT Shocks in Heterogeneous-Agent Economies: The Impulse Response as a Numerical Derivative

Journal
Journal of Economic Dynamics & Control
ISSN
0165-1889
Type
journal article
Date Issued
2018
Author(s)
Boppart, Timo  
;
Krusell, Per
;
Mitman, Kurt
DOI
10.1016/j.jedc.2018.01.002
Abstract
We propose a new method for computing equilibria in heterogeneous-agent models with aggregate uncertainty. The idea relies on an assumption that linearization offers a good approximation; we share this assumption with existing linearization methods. However, unlike those methods, the approach here does not rely on direct derivation of first-order Taylor terms. It also does not use recursive methods, whereby aggregates and prices would be expressed as linear functions of the state, usually a very high-dimensional object (such as the wealth distribution). Rather, we rely merely on solving nonlinearly for a deterministic transition path: we study the equilibrium response to a single, small “MIT shock” carefully. We then regard this impulse response path as a numerical derivative in sequence space and hence provide our linearized solution directly using this path. The method can easily be extended to the case of many shocks and computation time rises linearly in the number of shocks. We also propose a set of checks on whether linearization is a good approximation. We assert that our method is the simplest and most transparent linearization technique among currently known methods. The key numerical tool required to implement it is value-function iteration, using a very limited set of state variables.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Refereed
Yes
Publisher
Elsevier
Volume
89
Start page
68
End page
92
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/100999
Subject(s)

economics

Division(s)

SIAW - Swiss Institut...

Eprints ID
261583
File(s)
Thumbnail Image
Name

BKM 1.pdf

Size

197.72 KB

Format

Adobe PDF

Checksum (MD5)

2b1bd2ca2277ef4dcf66b605f0bc1153

Support
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