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Redistributive Policy Shocks and Monetary Policy with Heterogeneous Agents

dc.contributor.authorBahl, O.
dc.contributor.authorGhate, C.
dc.contributor.authorMallick, D.
dc.date.accessioned2025-04-02T04:15:15Z
dc.date.available2025-04-02T04:15:15Z
dc.date.issued2024-03
dc.description.abstractGovernments in EMDEs routinely intervene in agriculture markets to stabilize food prices in the wake of adverse shocks. Such interventions involve a large increase in the procurement and redistribution of agriculture output, which we refer to as a redistributive policy shock. What is the impact of a redistributive policy shock on inflation and the distribution of consumption amongst rich and poor households? We build a two-sector-two-agent NK-DSGE model (2S-TANK) to address these questions. Using Indian data, we estimate the model using a Bayesian approach. We characterize optimal monetary policy. We show that the welfare costs of redistributive policy shocks are substantially higher when non-optimized rules are used to set monetary policy in response to such shocks.
dc.identifier.issn2206-0332
dc.identifier.urihttps://hdl.handle.net/1885/733746064
dc.language.isoen_AU
dc.provenanceThe publisher permission to make it open access was granted in November 2024
dc.publisherCrawford School of Public Policy, The Australian National University
dc.relation.ispartofseriesCAMA Working Paper 59/2024
dc.rightsAuthor(s) retain copyright
dc.sourceCentre for Applied Macroeconomic Analysis Working Papers
dc.source.urihttps://crawford.anu.edu.au
dc.titleRedistributive Policy Shocks and Monetary Policy with Heterogeneous Agents
dc.typeWorking/Technical Paper
dcterms.accessRightsOpen Access
dspace.entity.typePublication
local.bibliographicCitation.issue59/2024
local.type.statusPublished Version

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