Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints
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https://www.nber.org/papers/w27991
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资源简介：
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
提供机构：
美国国家经济研究局
创建时间：
2020-10-01
