Identifying the sources of model misspecification
Atsushi Inoue,
Chun-Hung Kuo and
Barbara Rossi
Journal of Monetary Economics, 2020, vol. 110, issue C, 1-18
Abstract:
Conventional macroeconomic models fail to predict to the Great Recession. Is it because they are misspecified? We propose an empirical method for detecting and identifying misspecification in structural economic models. Our approach formalizes the common practice of adding “shocks” in the model, and identifies potential misspecification via forecast error variance decomposition and marginal likelihood analyses. The simulation results based on a small-scale DSGE model demonstrate that our method can correctly identify the source of misspecification. Our empirical results show that state-of-the-art medium-scale New Keynesian DSGE models remain misspecified, pointing to asset and labor markets as the sources of the misspecification.
Keywords: Misspecification; DSGE models; Forecast error variance decomposition; Marginal likelihood (search for similar items in EconPapers)
JEL-codes: C11 C52 E32 E52 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)
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Related works:
Working Paper: Identifying the sources of model misspecification (2018) 
Working Paper: Identifying the Sources of Model Misspecification (2015) 
Working Paper: Identifying the Sources of Model Misspecification (2014) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:moneco:v:110:y:2020:i:c:p:1-18
DOI: 10.1016/j.jmoneco.2019.01.003
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