Economics at your fingertips  

DSGE Models: Problem of Trends

Sergey Ivashchenko

Finansovyj žhurnal — Financial Journal, 2019, issue 2, 81-95

Abstract: There are trends (deterministic and stochastic) in the most macroeconomic time series. Dynamic Stochastic General Equilibrium (DSGE) models have to take into account these data features. Data detrending is one of the popular approaches that imply exogenous (to the model) decomposition of time series into cycle and trend components, and dropping of the last one. The aim of the paper is to analyze the consequences of such approach. This paper shows that the methods described above distort the model, save some specific conditions. If one of the following conditions remains, then detrending disturbs the model unsystematically. Trend is eliminated from each time series separately. One variable has different nonlinear transformation than the other (example: one variable is in-logs while the other in-levels). Correlation of trend divergence (i.e. difference between trends of one and another variable) with exogenous shocks is incorrect (correct correlation can be nonzero). If trends are dropped from the model, then detrending distorts the model systematically. The author presents numerical results of detrending analysis and creates DSGE model. Then the model was estimated on multiple arrays of simulated data with different detrending schemes including the absence of detrending. Data detrending leads to 1.5–3 times higher errors of parameters estimation. More flexible detrending scheme leads to worse results (HP filter produces the worst result). However, if trend is eliminated from the data and DSGE model without trend is used then estimation errors increases additionally by 4–10 times.

Keywords: DSGE; trend; detrending; HP-filter; estimation accuracy; RMSE (search for similar items in EconPapers)
JEL-codes: C32 E30 E32 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) ... tii/fm_2019_2_06.pdf (application/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:

DOI: 10.31107/2075-1990-2019-2-81-95

Access Statistics for this article

Finansovyj žhurnal — Financial Journal is currently edited by Vladimir S. Nazarov

More articles in Finansovyj žhurnal — Financial Journal from Financial Research Institute, Moscow 127006, Russia Contact information at EDIRC.
Bibliographic data for series maintained by Gennady Ageev ().

Page updated 2022-06-20
Handle: RePEc:fru:finjrn:190206:p:81-95