Online Estimation of DSGE Models
Abstract: The estimation of dynamic stochastic general equilibrium (DSGE) models is a computationally demanding task. As these models change to address new challenges (such as household and firm heterogeneity, the lower bound on nominal interest rates, and occasionally binding financial constraints), they become even more complex and difficult to estimate?so much so that current estimation procedures are no longer up to the task. This post discusses a new technique for estimating these models which belongs to the class of sequential Monte Carlo (SMC) algorithms, an approach we employ to estimate the New York Fed DSGE model. To learn more, check out this paper of ours.
JEL Classification: E2;
File(s): File format is text/html https://libertystreeteconomics.newyorkfed.org/2019/08/online-estimation-of-dsge-models.html
Provider: Federal Reserve Bank of New York
Part of Series: Liberty Street Economics
Publication Date: 2019-08-21