Estimating DSGE models using seasonally adjusted and unadjusted data

A-Tier
Journal: Journal of Econometrics
Year: 2013
Volume: 173
Issue: 1
Pages: 22-35

Score contribution per author:

4.022 = (α=2.01 / 1 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper evaluates the common practice of estimating dynamic stochastic general equilibrium (DSGE) models using seasonally adjusted data. The simulation experiment shows that the practice leads to sizable distortions in estimated parameters. This is because the effects of seasonality, which are magnified by the model’s capital accumulation and labor market frictions, are not restricted to the so-called seasonal frequencies but instead are propagated across the entire frequency domain.

Technical Details

RePEc Handle
repec:eee:econom:v:173:y:2013:i:1:p:22-35
Journal Field
Econometrics
Author Count
1
Added to Database
2026-01-29