State Space Modeling in Macroeconomics and Finance Using S+FinMetrics∗

نویسندگان

  • Eric Zivot
  • Jiahui Wang
چکیده

This paper surveys some common state space models used in macroeconomics and finance and shows how to specify and estimate these models using the SsfPack algorithms implemented in the S-PLUS module S+FinMetrics. Examples include recursive regression models, time varying parameter models, exact ARMA models and calculation of the Beveridge-Nelson decomposition, unobserved components models, stochastic volatility models, and term structure models.

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State Space Modeling in Macroeconomics and Finance Using SsfPack for S+FinMetrics

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تاریخ انتشار 2002