Hussain, Syed M and Liu, Lin ORCID: 0000-0002-8222-7625
(2016)
A note on the Cogley-Nason-Sims approach.
Economics Letters, 146.
pp. 77-81.
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Official URL: https://www.elsevier.com/en-gb
Abstract
In evaluating an economic model with Structural Vector Auto-Regression (SVAR), the Cogley–Nason–Sims (CNS) approach compares impulse responses estimated from empirical data with those obtained from the identical SVAR run on model generated data. Using Monte-Carlo simulations, this paper examines small sample performance of the CNS approach.
Item Type: | Article |
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Uncontrolled Keywords: | Cogley–Nason–Sims approach, Small sample properties, Structural Vector Auto-Regression, Identification, Monte-Carlo simulation |
Depositing User: | Symplectic Admin |
Date Deposited: | 25 Jul 2016 14:26 |
Last Modified: | 19 Jan 2023 07:33 |
DOI: | 10.1016/j.econlet.2016.06.036 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3002512 |
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