Heterogeneity and Aggregate Fluctuations: Insights from TANK Models

Jordi Galí and Davide Debortoli
Authors registered in the RePEc Author Service: Jordi Galí

No 1436, Working Papers from Barcelona School of Economics

Abstract: We analyze the merits and limitations of simple tractable New Keynesian models (RANK and TANK) in accounting for the aggregate predictions of Heterogenous Agent New Keynesian models (HANK). By means of comparison of a number of nested HANK models, we isolate the role played by (i) idiosyncratic income risk, (ii) a binding borrowing constraint, and (iii) a portfolio choice between liquid and illiquid assets. We argue that the effects of household heterogeneity can be largely understood looking at the differential behavior of two types of households, hand-to-mouth and unconstrained, We find that a suitably specified and calibrated TANK model (which abstracts from idiosyncratic income risk) captures reasonably well the aggregate implications of household heterogeneity and the main channels through which it operates. That ability increases in the presence of a policy rule that emphasizes inflation stability. In the limiting case of a strict inflation targeting policy, heterogeneity becomes irrelevant for the determination of aggregate output.

Keywords: New Keynesian model; monetary policy; incomplete markets; idiosyncratic income risk; HANK models; representative household (search for similar items in EconPapers)
JEL-codes: E32 E52 (search for similar items in EconPapers)
Date: 2024-03
New Economics Papers: this item is included in nep-cba, nep-dge and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Related works:
Chapter: Heterogeneity and Aggregate Fluctuations: Insights from TANK Models (2024)
Working Paper: Heterogeneity and Aggregate Fluctuations: Insights from TANK models (2024)
Working Paper: Heterogeneity and Aggregate Fluctuations: Insights from TANK Models (2024)
Working Paper: Heterogeneity and aggregate fluctuations: insights from TANK models (2024)
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