Narrative
Economic models with adaptive learning developed in Mitra’s research are increasingly being adopted by policy authorities and in the training of graduate students. The usual paradigm in economics, rational expectations (RE), unrealistically assumes complete knowledge on the part of policymakers and households. Mitra’s work has emphasised informational limitations faced by policymakers and provides guidance for policies in these situations. Monetary policy is an area where different types of models are heavily used and their results are one input to the policy decisions.The impact of this case study should be seen by virtue of pioneering an approach that has come to be accepted by the economics profession as the realistic one to analyse macroeconomic policy changes under bounded rationality; this approach has led to a large outgrowth of applied models used in policy making in recent times. These policy oriented works have provided support for the aggressive monetary and fiscal stimulus packages that have been adopted in the wake of the financial crisis in 2007. They have been disseminated widely through presentations at numerous conferences sponsored by central banks in the presence of senior policymakers. The research has also influenced the teaching of macro and monetary economics; it is part of reading lists of leading MPhil/PhD programmes and has in part contributed to PhD students specialising in this broad area of research.
Impact status | Open |
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Category of impact | Public Policy Impact |
Keywords
- REF2014 case study
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Research output
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Policy change and learning in the RBC model
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Notes on Agents' Behavioral Rules Under Adaptive Learning and Studies of Monetary Policy
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Fiscal policy and learning
Research output: Working paper
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Anticipated fiscal policy and adaptive learning
Research output: Contribution to journal › Article › peer-review
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Does Ricardian Equivalence Hold When Expectations are not Rational?
Research output: Working paper