Added an entry in the manual for the particle filter.
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@ -4159,6 +4159,14 @@ this covariance matrix. Default is @code{1}.
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@item solve_algo = @var{INTEGER}
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@xref{solve_algo}.
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@item order = @var{INTEGER}
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When @code{2}, the likelihood is evaluated with a particle filter based
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on a second order approximation of the model (see
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@cite{Fernandez-Villaverde and Rubio-Ramirez (2005)}). Default is
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@code{1}, ie the lilkelihood of the linearized model is evaluated using
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a standard Kalman filter.
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@item order = @var{INTEGER}
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@xref{order}.
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@ -7353,6 +7361,11 @@ Fernandez-Villaverde, Jesus and Juan Rubio-Ramirez (2004): ``Comparing
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Dynamic Equilibrium Economies to Data: A Bayesian Approach,''
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@i{Journal of Econometrics}, 123, 153--187.
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@item
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Fernandez-Villaverde, Jesus and Juan Rubio-Ramirez (2005): ``Estimating
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Dynamic Equilibrium Economies: Linear versus Nonlinear Likelihood,''
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@i{Journal of Applied Econometrics}, 20, 891--910.
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@item
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Ireland, Peter (2004): ``A Method for Taking Models to the Data,''
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@i{Journal of Economic Dynamics and Control}, 28, 1205--26.
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