predetermined_variables:
* reworked a little bit the implementation * documented the command in the reference manual * added a test git-svn-id: https://www.dynare.org/svn/dynare/trunk@3143 ac1d8469-bf42-47a9-8791-bf33cf982152time-shift
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@ -378,6 +378,7 @@ In the description of Dynare commands, the following conventions are observed:
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<listitem><para><xref linkend='varexo_det'/></para></listitem>
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<listitem><para><xref linkend='parameters'/></para></listitem>
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<listitem><para><xref linkend='change_type'/></para></listitem>
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<listitem><para><xref linkend='predetermined_variables'/></para></listitem>
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</itemizedlist>
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<refentry id="var">
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@ -610,6 +611,81 @@ change_type(parameters) y, w;
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</refsect1>
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</refentry>
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<refentry id="predetermined_variables">
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<refmeta>
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<refentrytitle>predetermined_variables</refentrytitle>
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</refmeta>
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<refnamediv>
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<refname>predetermined_variables</refname>
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<refpurpose>declare some endogenous variables as predetermined</refpurpose>
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</refnamediv>
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<refsynopsisdiv>
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<cmdsynopsis>
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<command>predetermined_variables</command>
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<arg choice="plain"><replaceable>VARIABLE_NAME</replaceable></arg>
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<arg rep="repeat"><replaceable>VARIABLE_NAME</replaceable></arg>
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<arg choice="plain">;</arg>
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</cmdsynopsis>
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</refsynopsisdiv>
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<refsect1><title>Description</title>
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<para>
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In Dynare, the default convention is that the timing of a variable reflects when this variable is decided. The typical example is for capital stock: since the capital stock used at current period is actually decided at the previous period, then the capital stock entering the production function is <literal>k(-1)</literal>, and the law of motion of capital must be written:
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<programlisting>
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k = i + (1-delta)*k(-1)
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</programlisting>
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</para>
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<para>Put another way, for stock variables, the default in Dynare is to use a
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“stock at the end of the period” concept, instead of a “stock at the beginning of the period”
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convention.</para>
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<para>The <command>predetermined_variables</command> is used to change that convention. The endogenous variables declared as predetermined variables are supposed to be decided one period ahead of all other endogenous variables. For stock variables, they are supposed
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to follow a “stock at the beginning of the period”
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convention.</para>
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</refsect1>
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<refsect1><title>Example</title>
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<informalexample>
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<para>The following two program snippets are strictly equivalent.</para>
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<formalpara><title>Using default Dynare timing convention:</title>
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<para>
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<programlisting>
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var y, k, i;
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...
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model;
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y = k(-1)^alpha;
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k = i + (1-delta)*k(-1);
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...
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end;
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</programlisting>
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</para>
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</formalpara>
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<formalpara><title>Using the alternative timing convention:</title>
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<para>
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<programlisting>
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var y, k, i;
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predetermined_variables k;
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...
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model;
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y = k^alpha;
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k(+1) = i + (1-delta)*k;
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...
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end;
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</programlisting>
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</para>
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</formalpara>
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</informalexample>
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</refsect1>
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</refentry>
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</sect1>
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<sect1 id="expressions"><title>Expressions</title>
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@ -1995,15 +1995,6 @@ DynamicModel::writeDynamicModel(ostream &DynamicOutput, bool use_dll) const
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void
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DynamicModel::writeOutput(ostream &output, const string &basename, bool block, bool byte_code, bool use_dll) const
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{
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// Write list of predetermined variables in M_.predetermined_variables
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if (predetermined_variables_vec.size() > 0)
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{
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output << "M_.predetermined_variables = '';" << endl;
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for(vector <string>::const_iterator it = predetermined_variables_vec.begin();
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it != predetermined_variables_vec.end(); it++)
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output << "M_.predetermined_variables = strvcat(M_.predetermined_variables, '" << *it << "');" << endl;
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}
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/* Writing initialisation for M_.lead_lag_incidence matrix
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M_.lead_lag_incidence is a matrix with as many columns as there are
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endogenous variables and as many rows as there are periods in the
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@ -3090,34 +3081,11 @@ DynamicModel::substituteExpectation(bool partial_information_model)
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void
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DynamicModel::transformPredeterminedVariables()
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{
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for(vector <string>::const_iterator it = predetermined_variables_vec.begin();
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it != predetermined_variables_vec.end(); it++)
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for(int i = 0; i < (int) equations.size(); i++)
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{
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try
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{
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if(symbol_table.getType(*it)!=eEndogenous)
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{
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cerr << "Error: You must declare predetermined variable " << *it << " as an endogenous variable." << endl;
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exit(EXIT_FAILURE);
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}
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}
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catch(SymbolTable::UnknownSymbolNameException &e)
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{
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cerr << "Error: predetermind variable " << *it << " has not been declared." << endl;
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exit(EXIT_FAILURE);
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}
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catch(...)
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{
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cerr << "error in DynamicModel::transformPredeterminedVariables(), should not arrive here" << endl;
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exit(EXIT_FAILURE);
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}
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for(int i = 0; i < (int) equations.size(); i++)
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{
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BinaryOpNode *substeq = dynamic_cast<BinaryOpNode *>(equations[i]->decreaseLeadsLagsPredeterminedVariables(*it));
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assert(substeq != NULL);
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equations[i] = substeq;
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}
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BinaryOpNode *substeq = dynamic_cast<BinaryOpNode *>(equations[i]->decreaseLeadsLagsPredeterminedVariables());
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assert(substeq != NULL);
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equations[i] = substeq;
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}
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}
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@ -165,8 +165,6 @@ public:
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int mfs;
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//! the file containing the model and the derivatives code
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ofstream code_file;
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//! Stores variables declared to be predetermined by "predetermined_variables" statement
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vector<string> predetermined_variables_vec;
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//! Execute computations (variable sorting + derivation)
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/*!
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\param jacobianExo whether derivatives w.r. to exo and exo_det should be in the Jacobian (derivatives w.r. to endo are always computed)
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@ -319,9 +319,9 @@ NumConstNode::decreaseLeadsLags(int n) const
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}
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NodeID
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NumConstNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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NumConstNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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return decreaseLeadsLags(1);
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return const_cast<NumConstNode *>(this);
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}
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NodeID
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@ -831,9 +831,9 @@ VariableNode::decreaseLeadsLags(int n) const
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}
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NodeID
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VariableNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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VariableNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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if(datatree.symbol_table.getName(symb_id).compare(pv_name)==0)
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if (datatree.symbol_table.isPredetermined(symb_id))
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return decreaseLeadsLags(1);
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else
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return const_cast<VariableNode *>(this);
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@ -1641,9 +1641,9 @@ UnaryOpNode::decreaseLeadsLags(int n) const
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}
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NodeID
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UnaryOpNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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UnaryOpNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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NodeID argsubst = arg->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID argsubst = arg->decreaseLeadsLagsPredeterminedVariables();
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return buildSimilarUnaryOpNode(argsubst, datatree);
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}
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@ -2626,10 +2626,10 @@ BinaryOpNode::decreaseLeadsLags(int n) const
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}
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NodeID
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BinaryOpNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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BinaryOpNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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NodeID arg1subst = arg1->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID arg2subst = arg2->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID arg1subst = arg1->decreaseLeadsLagsPredeterminedVariables();
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NodeID arg2subst = arg2->decreaseLeadsLagsPredeterminedVariables();
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return buildSimilarBinaryOpNode(arg1subst, arg2subst, datatree);
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}
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@ -3097,11 +3097,11 @@ TrinaryOpNode::decreaseLeadsLags(int n) const
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}
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NodeID
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TrinaryOpNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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TrinaryOpNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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NodeID arg1subst = arg1->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID arg2subst = arg2->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID arg3subst = arg3->decreaseLeadsLagsPredeterminedVariables(pv_name);
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NodeID arg1subst = arg1->decreaseLeadsLagsPredeterminedVariables();
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NodeID arg2subst = arg2->decreaseLeadsLagsPredeterminedVariables();
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NodeID arg3subst = arg3->decreaseLeadsLagsPredeterminedVariables();
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return buildSimilarTrinaryOpNode(arg1subst, arg2subst, arg3subst, datatree);
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}
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}
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NodeID
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UnknownFunctionNode::decreaseLeadsLagsPredeterminedVariables(const string pv_name) const
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UnknownFunctionNode::decreaseLeadsLagsPredeterminedVariables() const
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{
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cerr << "UnknownFunctionNode::decreaseLeadsLagsPredeterminedVariables: not implemented!" << endl;
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exit(EXIT_FAILURE);
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@ -304,7 +304,7 @@ public:
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*/
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const = 0;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const = 0;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const = 0;
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};
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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//! Symbol or variable node
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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//! Unary operator node
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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//! Binary operator node
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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//! Trinary operator node
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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//! Unknown function node
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virtual NodeID substituteExoLead(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExoLag(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs) const;
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virtual NodeID substituteExpectation(subst_table_t &subst_table, vector<BinaryOpNode *> &neweqs, bool partial_information_model) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables(const string pv_name) const;
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virtual NodeID decreaseLeadsLagsPredeterminedVariables() const;
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};
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#endif
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@ -134,7 +134,8 @@ ModFile::checkPass()
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void
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ModFile::transformPass()
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{
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dynamic_model.transformPredeterminedVariables();
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if (symbol_table.predeterminedNbr() > 0)
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dynamic_model.transformPredeterminedVariables();
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if (mod_file_struct.stoch_simul_present
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|| mod_file_struct.estimation_present
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@ -147,7 +147,18 @@ ParsingDriver::declare_parameter(string *name, string *tex_name)
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void
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ParsingDriver::add_predetermined_variable(string *name)
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{
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mod_file->dynamic_model.predetermined_variables_vec.push_back(*name);
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try
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{
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int symb_id = mod_file->symbol_table.getID(*name);
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if (mod_file->symbol_table.getType(symb_id) != eEndogenous)
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error("Predetermined variables must be endogenous variables");
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mod_file->symbol_table.markPredetermined(symb_id);
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}
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catch(SymbolTable::UnknownSymbolNameException &e)
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{
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error("Undeclared symbol name: " + *name);
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}
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delete name;
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}
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#include <algorithm>
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#include <sstream>
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#include <iostream>
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#include <cassert>
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#include "SymbolTable.hh"
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break;
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}
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}
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if (predeterminedNbr() > 0)
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{
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output << "M_.predetermined_variables = [ ";
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for(set<int>::const_iterator it = predetermined_variables.begin();
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it != predetermined_variables.end(); it++)
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output << getTypeSpecificID(*it) << " ";
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output << "];" << endl;
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}
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}
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int
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return symb_id;
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}
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void
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SymbolTable::markPredetermined(int symb_id) throw (UnknownSymbolIDException, FrozenException)
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{
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if (symb_id < 0 || symb_id >= size)
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throw UnknownSymbolIDException(symb_id);
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if (frozen)
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throw FrozenException();
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assert(getType(symb_id) == eEndogenous);
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predetermined_variables.insert(symb_id);
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}
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bool
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SymbolTable::isPredetermined(int symb_id) const throw (UnknownSymbolIDException)
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{
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if (symb_id < 0 || symb_id >= size)
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throw UnknownSymbolIDException(symb_id);
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return(predetermined_variables.find(symb_id) != predetermined_variables.end());
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}
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int
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SymbolTable::predeterminedNbr() const
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{
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return(predetermined_variables.size());
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}
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@ -25,6 +25,7 @@ using namespace std;
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#include <map>
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#include <string>
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#include <vector>
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#include <set>
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#include <ostream>
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#include "CodeInterpreter.hh"
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@ -92,6 +93,9 @@ private:
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//! Information about auxiliary variables
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vector<AuxVarInfo> aux_vars;
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//! Stores the predetermined variables (by symbol IDs)
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set<int> predetermined_variables;
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public:
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SymbolTable();
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//! Thrown when trying to access an unknown symbol (by name)
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@ -211,6 +215,12 @@ public:
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inline int maxID();
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//! Write output of this class
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void writeOutput(ostream &output) const throw (NotYetFrozenException);
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//! Mark a symbol as predetermined variable
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void markPredetermined(int symb_id) throw (UnknownSymbolIDException, FrozenException);
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//! Test if a given symbol is a predetermined variable
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bool isPredetermined(int symb_id) const throw (UnknownSymbolIDException);
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//! Return the number of predetermined variables
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int predeterminedNbr() const;
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};
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inline bool
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@ -9,6 +9,7 @@ OCTAVE_MODS = \
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ramsey.mod \
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ramst_initval_file.mod \
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example1_varexo_det.mod \
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predetermined_variables.mod \
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arima/mod1.mod \
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arima/mod1a.mod \
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arima/mod2.mod \
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@ -0,0 +1,41 @@
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var c k i;
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varexo x;
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parameters alph gam delt bet aa;
|
||||
alph=0.5;
|
||||
gam=0.5;
|
||||
delt=0.02;
|
||||
bet=0.05;
|
||||
aa=0.5;
|
||||
|
||||
predetermined_variables k;
|
||||
|
||||
model;
|
||||
c + i = aa*x*k^alph;
|
||||
c^(-gam) - (1+bet)^(-1)*(aa*alph*x(+1)*k(+1)^(alph-1) + 1 - delt)*c(+1)^(-gam);
|
||||
k(+1) = (1-delt)*k + i;
|
||||
end;
|
||||
|
||||
initval;
|
||||
x = 1;
|
||||
k = ((delt+bet)/(1.0*aa*alph))^(1/(alph-1));
|
||||
c = aa*k^alph-delt*k;
|
||||
i = delt*k;
|
||||
end;
|
||||
|
||||
write_latex_dynamic_model;
|
||||
|
||||
steady;
|
||||
|
||||
check;
|
||||
|
||||
shocks;
|
||||
var x;
|
||||
periods 1;
|
||||
values 1.2;
|
||||
end;
|
||||
|
||||
simul(periods=200);
|
||||
|
||||
rplot c;
|
||||
rplot k;
|
Loading…
Reference in New Issue