DSGE Modeling
DSGE Modeling
This chapter discusses how dynamic stochastic general equilibrium (DSGE) models are now widely used by academics to conduct empirical research macroeconomics, as well as by central banks to interpret the current state of the economy, to analyze the impact of changes in monetary or fiscal policy, and to generate predictions for key macroeconomic aggregates. With particular emphasis on the Bayesian estimation of DSGE models, the chapter shows how the DSGE model generates a likelihood function—a joint probability distribution for the endogenous model variables such as output, consumption, investment, and inflation that depends on the structural parameters of the model. These structural parameters characterize agents' preferences, production technologies, and the law of motion of the exogenous shocks.
Keywords: DSGE models, Bayesian estimation, macroeconomics, fiscal policy, central banks, inflation
Princeton Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.