Estimating Macroeconomic Models: A Likelihood Approach
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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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美国国家经济研究局创建时间:
2006-02-01



