doc: change xref to pxref where appropriate
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@ -2379,7 +2379,8 @@ Moreover, as only states enter the recursive policy functions, all values specif
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For @ref{Ramsey} policy, it also specifies the values of the endogenous states at
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For @ref{Ramsey} policy, it also specifies the values of the endogenous states at
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which the objective function of the planner is computed. Note that the initial values
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which the objective function of the planner is computed. Note that the initial values
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of the Lagrange multipliers associated with the planner's problem cannot be set, @xref{planner_objective_value}.
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of the Lagrange multipliers associated with the planner's problem cannot be set
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(@pxref{planner_objective_value}).
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@examplehead
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@examplehead
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@ -6771,7 +6772,7 @@ available, leading to a second-order accurate welfare ranking
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This command generates all the output variables of @code{stoch_simul}. For specifying
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This command generates all the output variables of @code{stoch_simul}. For specifying
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the initial values for the endogenous state variables (except for the Lagrange
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the initial values for the endogenous state variables (except for the Lagrange
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multipliers), @xref{histval}.
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multipliers), @pxref{histval}.
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@vindex oo_.planner_objective_value
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@vindex oo_.planner_objective_value
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@anchor{planner_objective_value}
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@anchor{planner_objective_value}
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@ -6783,7 +6784,7 @@ taken to be at their steady state values. The result is a 1 by 2
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vector, where the first entry stores the value of the planner objective under
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vector, where the first entry stores the value of the planner objective under
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the timeless perspective to Ramsey policy, i.e. where the initial Lagrange
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the timeless perspective to Ramsey policy, i.e. where the initial Lagrange
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multipliers associated with the planner's problem are set to their steady state
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multipliers associated with the planner's problem are set to their steady state
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values (@xref{ramsey_policy}).
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values (@pxref{ramsey_policy}).
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In contrast, the second entry stores the value of the planner objective with
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In contrast, the second entry stores the value of the planner objective with
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initial Lagrange multipliers of the planner's problem set to 0, i.e. it is assumed
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initial Lagrange multipliers of the planner's problem set to 0, i.e. it is assumed
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that the planner succumbs to the temptation to exploit the preset private expecatations
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that the planner succumbs to the temptation to exploit the preset private expecatations
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