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Estimating Macroeconomic Models: A Likelihood Approach

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NBER2006-02-01 更新2025-01-04 收录
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This paper shows how particle filtering allows us to undertake likelihood-based inference in dynamic macroeconomic models. The models can be nonlinear and/or non-normal. We describe how to use the output from the particle filter to estimate the structural parameters of the model, those

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2006-02-01
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