Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks
Sergey Ivashchenko ()
Additional contact information
Sergey Ivashchenko: Bank of Russia; Institute of Regional Economy Studies; Financial Research Institute
Russian Journal of Money and Finance, 2022, vol. 81, issue 1, 46-72
Abstract:
This paper constructs a dynamic stochastic general equilibrium model with various trends for each GDP by expenditure component and structural breaks. The model is estimated on the sample of 20 Russian time series from 2000Q1 to 2020Q4. It produces high-quality out-of-sample forecasts that outperform autoregressive models. Production efficiency shocks explain more than half of the variance of key variables (both conditional and unconditional). The version with structural breaks produces much better median-based forecasting measures and almost the same mean-based forecasting measures due to significant errors near structural breaks. Various inflation measures respond similarly to monetary policy shocks, but differently to other shocks.
Keywords: DSGE; trends; unit root; forecast; structural break (search for similar items in EconPapers)
JEL-codes: C53 E32 E37 E47 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://rjmf.econs.online/upload/iblock/311/Dynami ... tructural-Breaks.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bkr:journl:v:81:y:2022:i:1:p:46-72
DOI: 10.31477/rjmf.202201.46
Access Statistics for this article
Russian Journal of Money and Finance is currently edited by Ksenia Yudaeva
More articles in Russian Journal of Money and Finance from Bank of Russia Contact information at EDIRC.
Bibliographic data for series maintained by Olga Kuvshinova ().