Arbeitspapier
An aggregate welfare optimizing interest rate rule under heterogeneous expectations
In this paper, I propose an optimal interest rate rule under heterogeneous expectations derived from a welfare criterion that is a second-order approximation of heterogeneous household utility following Di Bartolomeo et al. (2016). Additionally, I explore the agent level of the Branch and McGough (2009) framework in a more detailed fashion which is important as the central bank's welfare criterion depends on consumption inequality. I find that the consumption decision of "rational" agents in Di Bartolomeo et al. (2016) is inconsistent with the higher-order beliefs assumption of Branch and McGough (2009). Hence, consumption rules are derived that are consistent with the micro-foundations of Branch and McGough (2009) including a possible specification of agent's long-run beliefs. Further, the welfare analysis shows that the optimal interest rate rule yields welfare gains that range between 0.1 and 7.1 percent under the considered parameter values relative to a rule that is optimized under a conventional inflation-targeting objective as in Gasteiger (2014). Welfare gains are high when the underlying economy features a high degree of heterogeneity.
- ISBN
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978-3-943153-60-6
- Language
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Englisch
- Bibliographic citation
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Series: BERG Working Paper Series ; No. 139
- Classification
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Wirtschaft
Monetary Policy
Expectations; Speculations
- Subject
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optimal monetary policy
policy implementation
heterogeneous expectations
inequality
- Event
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Geistige Schöpfung
- (who)
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Hagenhoff, Tim
- Event
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Veröffentlichung
- (who)
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Bamberg University, Bamberg Economic Research Group (BERG)
- (where)
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Bamberg
- (when)
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2018
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Hagenhoff, Tim
- Bamberg University, Bamberg Economic Research Group (BERG)
Time of origin
- 2018