It is difficult to assess the effectiveness of investment strategies that screen companies based on environmental criteria to hedge climate change risk because physical risks have not yet fully materialized and policies to combat climate change are usually widely anticipated. This paper...

This paper advocates chaining the decomposition of shocks into contributions from forecast errors to the shock decomposition of the latent vector to better understand model inference about latent variables. Such a double decomposition allows us to gauge the inuence of data on latent variables,...

At the zero lower bound (ZLB), expectations about the future path of monetary or fiscal policy are crucial. We model expectations formation under level-k thinking, a form of bounded rationality introduced by García-Schmidt and Woodford (2019) and Farhi and Werning (2017), consistent with...

At the zero lower bound (ZLB), expectations about the future path of monetary or fiscal policy are crucial. We model expectations formation under level-k thinking, a form of bounded rationality introduced by García-Schmidt and Woodford (2019) and Farhi and Werning (2017), consistent with...

We develop an incomplete-markets heterogeneous agent New-Keynesian (HANK) model in which households are allowed to lend and borrow, subject to a borrowing constraint. We show that, in this framework, forward guidance, that is the promise by the central bank to lower future interest rates, can be...

We simulate the FRB/US model and a number of statistical models to quantify some of the risks stemming from the effective lower bound (ELB) on the federal funds rate and to assess the efficacy of adjustments to the federal funds rate target, balance sheet policies, and forward guidance to...

At the zero lower bound (ZLB), expectations about the future path of monetary or fiscal policy are crucial. We model expectations formation under level-k thinking, a form of bounded rationality introduced by García-Schmidt and Woodford (2019) and Farhi and Werning (2017), consistent with...