2019
DOI: 10.17016/ifdp.2019.1267
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Household Debt and the Heterogeneous Effects of Forward Guidance

Abstract: 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 a powerful policy tool, especially when the economy is in a liquidity trap. In our model, the power of forward guidance is amplified by three redistributive channels, absent in a representative agent new-Keynesian mode… Show more

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Cited by 4 publications
(4 citation statements)
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“…See alsoFerrante and Paustian (2019). This intuition is similar to the interest rate exposure channel discussed inAuclert et al (2023a).…”
supporting
confidence: 54%
“…See alsoFerrante and Paustian (2019). This intuition is similar to the interest rate exposure channel discussed inAuclert et al (2023a).…”
supporting
confidence: 54%
“…For instance, redistributional effects that transfer wealth from low-MPC savers to high-MPC borrowers could in principle raise the potential of future interest rate cuts to provide economic stimulus (see e.g. Ferrante and Paustian, 2019). For our model, these counteracting forces appear to roughly cancel each other out, such that market incompleteness does not matter much for the effectiveness of make-up strategies.…”
Section: Stochastic Simulationsmentioning
confidence: 87%
“…10 Specifically, it contributes to recent studies 7 As in Hagedorn et al (2019), we consider a HANK model with nominal wage stickiness and a calibration that attenuates the power of anticipated future monetary accommodation, which AIT relies on. In contrast to these authors, we however allow for positive (nominal) household debt as in Ferrante and Paustian (2019), such that there are redistributive effects that can potentially increase the effectiveness of future interest rate changes by reallocating resources between indebted high-and saving low-MPC households.…”
Section: Introductionmentioning
confidence: 99%
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