Optimal Conventional and Unconventional Monetary Policy Mix
Sami Alpanda,
Serdar Kabaca and
Kostas(Konstantinos) Mavromatis
Working Papers from DNB
Abstract:
This paper examines the optimal coordination of conventional and unconventional mone-tary policy tools in an environment characterized by household heterogeneity and mortgage debt. We develop a dynamic stochastic general equilibrium (DSGE) model with three types of households—savers, borrowers, and renters—and incorporate housing investment, fixed-rate long-term mortgages, and a housing production sector. The central bank controls both the short-term interest rate and the long-term rate via the relative supply of long-term bonds. We show that household heterogeneity significantly alters the optimal policy response to macroeconomic shocks. In particular, following a cost-push shock, the optimal policy involves raising the short-term rate to combat inflation while lowering the long-term rate to alleviate financial burdens on indebted households and renters. This policy mix accelerates investment recovery but increases consumption inequality. In contrast, in a representative-agent economy, both rates are raised. Our findings highlight the importance of accounting for distributional effects in monetary policy design and suggest that yield curve control can be a valuable tool in heterogeneous economies.
Keywords: Monetary policy; household heterogeneity; yield curve control (search for similar items in EconPapers)
JEL-codes: E40 E43 E52 (search for similar items in EconPapers)
Date: 2026-01
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.dnb.nl/media/pjvnwbt2/working_paper_no-853.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dnb:dnbwpp:853
Access Statistics for this paper
More papers in Working Papers from DNB Contact information at EDIRC.
Bibliographic data for series maintained by DNB ().