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transparently announces that it, conditional on current information, plans to implement a particular policy-rate path and where this …
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We study the design of optimal monetary policy under uncertainty in a dynamic stochastic general equilibrium models. We use a Markov jump-linear-quadratic (MJLQ) approach to study policy design, approximating the uncertainty by different discrete modes in a Markov chain, and by taking...
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experimentation component reflecting the endogeneity of information. We develop algorithms to solve numerically for the Bayesian …
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