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We introduce a new estimation framework which extends the Generalized Method of Moments (GMM) to settings where a subset of the parameters vary over time with unknown dynamics. To filter out the dynamic path of the time-varying parameter, we approximate the dynamics by an autoregressive process...
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theoretic optimality of the score driven nonlinear autoregressive process and the asymptotic theory for maximum likelihood …
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theoretic optimality of the score driven nonlinear autoregressive process and the asymptotic theory for maximum likelihood …
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