diff --git a/doc/manual/source/examples.rst b/doc/manual/source/examples.rst
index 457086877c601a477cfbb872fea5ea811b191616..471dd42097835a404c3532a2c4976c9434cf17d0 100644
--- a/doc/manual/source/examples.rst
+++ b/doc/manual/source/examples.rst
@@ -61,4 +61,10 @@ description, please refer to the comments inside the files themselves.
File demonstrating how to conduct optimal policy experiments in a
simple New Keynesian model either under commitment (Ramsey) or using
- optimal simple rules (OSR)
\ No newline at end of file
+ optimal simple rules (OSR)
+
+``Ramsey_steady_file.mod``
+
+ File demonstrating how to conduct optimal policy experiments in a
+ simple New Keynesian model under commitment (Ramsey) with a user-defined
+ conditional steady state file
\ No newline at end of file
diff --git a/examples/Ramsey_steady_file.mod b/examples/Ramsey_steady_file.mod
new file mode 100644
index 0000000000000000000000000000000000000000..1d8db31a84c172ed9b0449a16b4028cd330e6192
--- /dev/null
+++ b/examples/Ramsey_steady_file.mod
@@ -0,0 +1,119 @@
+/*
+ * This file replicates the model studied in:
+ * Lawrence J. Christiano, Roberto Motto and Massimo Rostagno (2007):
+ * "Notes on Ramsey-Optimal Monetary Policy", Section 2
+ * The paper is available at http://faculty.wcas.northwestern.edu/~lchrist/d16/d1606/ramsey.pdf
+ *
+ * Notes:
+ * - This mod-files allows to simulate a simple New Keynesian Model with Rotemberg price
+ * adjustment costs under fully optimal monetary under commitment (Ramsey)
+ *
+ * - This files shows how to use a userd-defined conditional steady state file in the Ramsey case. It takes
+ * the value of the defined instrument R as given and then computes the rest of the steady
+ * state, including the steady state inflation rate, based on this value. The initial value
+ * of the instrument for steady state search must then be defined in an initval-block.
+ *
+ * This implementation was written by Johannes Pfeifer.
+ *
+ * If you spot mistakes, email me at jpfeifer@gmx.de
+ *
+ * Please note that the following copyright notice only applies to this Dynare
+ * implementation of the model.
+ */
+
+/*
+ * Copyright (C) 2019 Dynare Team
+ *
+ * This is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * It is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * For a copy of the GNU General Public License,
+ * see <http://www.gnu.org/licenses/>.
+ */
+
+
+var C $C$ (long_name='Consumption')
+ pi $\pi$ (long_name='Gross inflation')
+ h $h$ (long_name='hours worked')
+ Z $Z$ (long_name='TFP')
+ R $R$ (long_name='Net nominal interest rate')
+ log_C ${\ln C}$ (long_name='Log Consumption')
+ log_h ${\ln h}$ (long_name='Log hours worked')
+ pi_ann ${\pi^{ann}}$ (long_name='Annualized net inflation')
+ R_ann ${R^{ann}}$ (long_name='Annualized net nominal interest rate')
+ r_real ${r^{ann,real}}$ (long_name='Annualized net real interest rate')
+ y_nat ${y^{nat}}$ (long_name='Natural (flex price) output')
+ y_gap ${r^{gap}}$ (long_name='Output gap')
+;
+
+varexo epsilon ${\varepsilon}$ (long_name='TFP shock')
+ ;
+
+parameters beta ${\beta}$ (long_name='discount factor')
+ theta ${\theta}$ (long_name='substitution elasticity')
+ tau ${\tau}$ (long_name='labor subsidy')
+ chi ${\chi}$ (long_name='labor disutility')
+ phi ${\phi}$ (long_name='price adjustment costs')
+ rho ${\rho}$ (long_name='TFP autocorrelation')
+ ;
+
+beta=0.99;
+theta=5;
+phi=100;
+rho=0.9;
+tau=0;
+chi=1;
+
+model;
+ [name='Euler equation']
+ 1/(1+R)=beta*C/(C(+1)*pi(+1));
+ [name='Firm FOC']
+ (tau-1/(theta-1))*(1-theta)+theta*(chi*h*C/(exp(Z))-1)=phi*(pi-1)*pi-beta*phi*(pi(+1)-1)*pi(+1);
+ [name='Resource constraint']
+ C*(1+phi/2*(pi-1)^2)=exp(Z)*h;
+ [name='TFP process']
+ Z=rho*Z(-1)+epsilon;
+ [name='Definition log consumption']
+ log_C=log(C);
+ [name='Definition log hours worked']
+ log_h=log(h);
+ [name='Definition annualized inflation rate']
+ pi_ann=4*log(pi);
+ [name='Definition annualized nominal interest rate']
+ R_ann=4*R;
+ [name='Definition annualized real interest rate']
+ r_real=4*log((1+R)/pi(+1));
+ [name='Definition natural output']
+ y_nat=exp(Z)*sqrt((theta-1)/theta*(1+tau)/chi);
+ [name='output gap']
+ y_gap=log_C-log(y_nat);
+end;
+
+initval;
+ R=1/beta-1;
+end;
+
+shocks;
+ var epsilon = 0.01^2;
+end;
+
+//use Ramsey optimal policy
+
+//define planner objective, which corresponds to utility function of agents
+planner_objective log(C)-chi/2*h^2;
+
+//set up Ramsey optimal policy problem with interest rate R as the instrument,...
+// defining the discount factor in the planner objective to be the one of private agents
+ramsey_model(instruments=(R),planner_discount=beta,planner_discount_latex_name=$\beta$);
+
+//conduct stochastic simulations of the Ramsey problem
+stoch_simul(order=1,irf=20,periods=500) pi_ann log_h R_ann log_C Z r_real;
+evaluate_planner_objective;
+
diff --git a/examples/Ramsey_steady_file_steadystate.m b/examples/Ramsey_steady_file_steadystate.m
new file mode 100644
index 0000000000000000000000000000000000000000..c5b48448797ba5dec71e80fb6dbc0921239683e7
--- /dev/null
+++ b/examples/Ramsey_steady_file_steadystate.m
@@ -0,0 +1,79 @@
+function [ys,params,check] = Ramsey_steady_file_steadystate(ys,exo,M_,options_)
+% function [ys,params,check] = Ramsey_steady_file_steadystate(ys,exo,M_,options_)
+% computes the steady state for the Ramsey_steady_file.mod, conditional on
+% the instrument value provided
+%
+% Inputs:
+% - ys [vector] vector of initial values for the steady state of
+% the endogenous variables
+% - exo [vector] vector of values for the exogenous variables
+% - M_ [structure] Dynare model structure
+% - options [structure] Dynare options structure
+%
+% Output:
+% - ys [vector] vector of steady state values for the the endogenous variables
+% - params [vector] vector of parameter values
+% - check [scalar] set to 0 if steady state computation worked and to
+% 1 of not (allows to impose restrictions on parameters)
+
+% Copyright (C) 2020 Dynare Team
+%
+% This file is part of Dynare.
+%
+% Dynare is free software: you can redistribute it and/or modify
+% it under the terms of the GNU General Public License as published by
+% the Free Software Foundation, either version 3 of the License, or
+% (at your option) any later version.
+%
+% Dynare is distributed in the hope that it will be useful,
+% but WITHOUT ANY WARRANTY; without even the implied warranty of
+% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+% GNU General Public License for more details.
+%
+% You should have received a copy of the GNU General Public License
+% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
+
+% read out parameters to access them with their name
+beta=NaN; %make parameter known to Matlab function, prevents crashes due to Matlab function with same name;
+ %will be overwritten next
+
+NumberOfParameters = M_.param_nbr;
+for ii = 1:NumberOfParameters
+ paramname = M_.param_names{ii};
+ eval([ paramname ' = M_.params(' int2str(ii) ');']);
+end
+
+% read in instrument values
+for ii = 1:size(options_.instruments,1)
+ eval([options_.instruments{ii} ' = ys(strmatch(options_.instruments{ii},M_.endo_names,''exact'')) ;']);
+end
+% initialize indicator
+check = 0;
+
+
+%% Enter model equations here
+
+ Z=0;
+ pi=(R+1)*beta;
+ C=sqrt((1+1/theta*((1-beta)*(pi-1)*pi-(tau-1/(theta-1))*(1-theta)))/(chi*(1+phi/2*(pi-1)^2)));
+ h=C*(1+phi/2*(pi-1)^2);
+ log_C=log(C);
+ log_h=log(h);
+ pi_ann=4*log(pi);
+ R_ann=4*R;
+ r_real=4*log((1+R)/pi);
+ y_nat=sqrt((theta-1)/theta*(1+tau)/chi);
+ y_gap=log_C-log(y_nat);
+
+%% end own model equations
+
+params=NaN(NumberOfParameters,1);
+for iter = 1:length(M_.params) %update parameters set in the file
+ eval([ 'params(' num2str(iter) ') = ' M_.param_names{iter} ';' ])
+end
+
+NumberOfEndogenousVariables = M_.orig_endo_nbr; %auxiliary variables are set automatically
+for ii = 1:NumberOfEndogenousVariables
+ varname = M_.endo_names{ii};
+ eval(['ys(' int2str(ii) ') = ' varname ';']);
+end