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            Interest-Rate Rules in a New Keynesian Framework with Investment

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            Author(s)
            Pavlova, Elena
            Language
            English
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            Abstract
            The last decades have witnessed major progress in both monetary policy theory and practice, with broad academic consensus on the desirability of monetary policy rules and ongoing research on their exact specification. Typically, the analysis is carried out in a New Keynesian framework with nominal rigidities and constant capital stock. The latter represents a constraint that this study seeks to overcome by introducing a model with investment and capital adjustment costs. The work assesses different interest-rate rule specifications with respect to the target variables included, based on two criteria: determinacy of rational-expectations equilibrium and convergence to steady state after a shock. The study concludes that rules with both an inflation and an output gap target ensure a unique rational-expectations equilibrium and a less distressful adjustment of the economy after the occurrence of shocks.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/192313
            Keywords
            Framework; Inflation-targeting; Interest; Investment; Keynesian; Monetary policy; Pavlova; Rate; rational-expectations equilibrium; Rules; Taylor principle; with; thema EDItEUR::J Society and Social Sciences::JP Politics and government; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCB Macroeconomics::KCBM Monetary economics
            DOI
            10.3726/978-3-653-01444-0
            ISBN
            9783653014440
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2012-06-26
            Series
            Schriften zur Wirtschaftstheorie und Wirtschaftspolitik,
            Pages
            162
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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