From 2c8c1202989b5bf3c9cc3fb0fdf93d698122828e Mon Sep 17 00:00:00 2001
From: Johannes Pfeifer <jpfeifer@gmx.de>
Date: Fri, 10 Jan 2020 15:26:50 +0100
Subject: [PATCH] Replace various references to deprecated ramsey_policy by
ramsey_model
---
doc/manual/source/the-model-file.rst | 19 +++++++------------
1 file changed, 7 insertions(+), 12 deletions(-)
diff --git a/doc/manual/source/the-model-file.rst b/doc/manual/source/the-model-file.rst
index 1bc92ac451..0a7b912ed1 100644
--- a/doc/manual/source/the-model-file.rst
+++ b/doc/manual/source/the-model-file.rst
@@ -8127,30 +8127,25 @@ Optimal policy
==============
Dynare has tools to compute optimal policies for various types of
-objectives. ``ramsey_model`` computes automatically the First Order
-Conditions (FOC) of a model, given the ``planner_objective``. You can
-then use other standard commands to solve, estimate or simulate this
-new, expanded model.
-
-Alternatively, you can either solve for optimal policy under
-commitment with ``ramsey_policy``, for optimal policy under discretion
-with ``discretionary_policy`` or for optimal simple rule with ``osr``
+objectives. You can either solve for optimal policy under
+commitment with ``ramsey_model``, for optimal policy under discretion
+with ``discretionary_policy`` or for optimal simple rules with ``osr``
(also implying commitment).
.. command:: planner_objective MODEL_EXPRESSION ;
|br| This command declares the policy maker objective, for use
- with ``ramsey_policy`` or ``discretionary_policy``.
+ with ``ramsey_model`` or ``discretionary_policy``.
You need to give the one-period objective, not the discounted
lifetime objective. The discount factor is given by the
- ``planner_discount`` option of ``ramsey_policy`` and
+ ``planner_discount`` option of ``ramsey_model`` and
``discretionary_policy``. The objective function can only contain
current endogenous variables and no exogenous ones. This
limitation is easily circumvented by defining an appropriate
auxiliary variable in the model.
- With ``ramsey_policy``, you are not limited to quadratic
+ With ``ramsey_model``, you are not limited to quadratic
objectives: you can give any arbitrary nonlinear expression.
With ``discretionary_policy``, the objective function must be quadratic.
@@ -8354,7 +8349,7 @@ Optimal policy under discretion
*Options*
- This command accepts the same options than ``ramsey_policy``, plus:
+ This command accepts the same options as ``ramsey_policy``, plus:
.. option:: discretionary_tol = NON-NEGATIVE DOUBLE
--
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