Add variable explanations to manual
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@ -806,6 +806,11 @@ Internally, the parameter values are stored in ``M_.params``:
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order that was used in the ``parameters`` command, hence ordered as
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order that was used in the ``parameters`` command, hence ordered as
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in ``M_.param_names``.
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in ``M_.param_names``.
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The parameter names are stored in ``M_.param_names``:
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.. matvar:: M_.param_names
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Cell array containing the names of the model parameters.
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.. _model-decl:
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.. _model-decl:
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@ -3636,6 +3641,11 @@ state of the model and shocks observed at the beginning of the
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period. The decision rules are stored in the structure ``oo_.dr``
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period. The decision rules are stored in the structure ``oo_.dr``
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which is described below.
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which is described below.
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.. matvar:: oo_.dr
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Structure storing the decision rules. The subfields for different
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orders of approximation are explained below.
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.. command:: extended_path ;
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.. command:: extended_path ;
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extended_path (OPTIONS...);
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extended_path (OPTIONS...);
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@ -3725,6 +3735,13 @@ lag. We therefore have the following identity:
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M_.npred + M_.both + M_.nfwrd + M_.nstatic = M_.endo_nbr
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M_.npred + M_.both + M_.nfwrd + M_.nstatic = M_.endo_nbr
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.. matvar:: M_.state_var
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Vector of numerical indices identifying the state variables in the
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vector of declared variables. ``M_.endo_names(M_.state_var)``
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therefore yields the name of all variables that are states in
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the model declaration, i.e. that show up with a lag.
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Internally, Dynare uses two orderings of the endogenous variables: the
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Internally, Dynare uses two orderings of the endogenous variables: the
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order of declaration (which is reflected in ``M_.endo_names``), and an
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order of declaration (which is reflected in ``M_.endo_names``), and an
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order based on the four types described above, which we will call the
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order based on the four types described above, which we will call the
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@ -3737,9 +3754,15 @@ purely backward variables, then mixed variables, and finally purely
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forward variables. Inside each category, variables are arranged
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forward variables. Inside each category, variables are arranged
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according to the declaration order.
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according to the declaration order.
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Variable ``oo_.dr.order_var`` maps DR-order to declaration order, and
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.. matvar:: oo_.dr.order_var
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variable ``oo_.dr.inv_order_var`` contains the inverse map. In other
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words, the k-th variable in the DR-order corresponds to the endogenous
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This variables maps DR-order to declaration order.
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.. matvar:: oo_.dr.inv_order_var
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This variable contains the inverse map.
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In other words, the k-th variable in the DR-order corresponds to the endogenous
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variable numbered ``oo_.dr.order_var(k)`` in declaration
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variable numbered ``oo_.dr.order_var(k)`` in declaration
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order. Conversely, k-th declared variable is numbered
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order. Conversely, k-th declared variable is numbered
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``oo_.dr.inv_order_var(k)`` in DR-order.
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``oo_.dr.inv_order_var(k)`` in DR-order.
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@ -3764,6 +3787,15 @@ The approximation has the stylized form:
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where :math:`y^s` is the steady state value of :math:`y` and
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where :math:`y^s` is the steady state value of :math:`y` and
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:math:`y^h_t=y_t-y^s`.
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:math:`y^h_t=y_t-y^s`.
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.. matvar:: oo.dr.state_var
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Vector of numerical indices identifying the state variables in the
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vector of declared variables, *given the current parameter values*
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for which the decision rules have been computed. It may differ from
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``M_.state_var`` in case a state variable drops from the model given
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the current parameterization, because it only gets 0 coefficients in
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the decision rules. See :mvar:`M_.state_var`.
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The coefficients of the decision rules are stored as follows:
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The coefficients of the decision rules are stored as follows:
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* :math:`y^s` is stored in ``oo_.dr.ys``. The vector rows correspond
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* :math:`y^s` is stored in ``oo_.dr.ys``. The vector rows correspond
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