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Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints

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NBER2020-10-01 更新2025-01-04 收录
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We develop an algorithm to construct approximate decision rules that are piecewise-linear and continuous for DSGE models with an occasionally binding constraint. The functional form of the decision rules allows us to derive a conditionally optimal particle filter (COPF) for the evaluation of the

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2020-10-01
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