Forming Priors for DSGE Models and How It Affects the Assessment of Nominal Rigidities

Working Paper: NBER ID: w13741

Authors: Marco Del Negro; Frank Schorfheide

Abstract: The paper discusses prior elicitation for the parameters of dynamic stochastic general equilibrium (DSGE) models, and provides a method for constructing prior distributions for a subset of these parameters from beliefs about the moments of the endogenous variables. The empirical application studies the role of price and wage rigidities in a New Keynesian DSGE model and finds that standard macro time series cannot discriminate among theories that differ in the quantitative importance of nominal frictions.

Keywords: DSGE models; Bayesian methods; Nominal rigidities

JEL Codes: C11; C32; E3


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
standard macro time series data post-1982 (E39)inability to discriminate among different theories regarding the quantitative significance of nominal rigidities (C54)
priors (C11)influence on posterior estimates of rigidity parameters (C51)
choice of priors (C11)sensitivity of empirical results to prior specifications (C51)
macroeconomic data (E01)insufficiently informative conclusions about necessity of nominal rigidities (C54)
elicitation of priors (D80)meaningful insights from DSGE models (E13)
model comparison results (C52)not robust to choice of prior for exogenous shock processes (C51)

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