NK_baseline_steadystate.m: provide proper error handling
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c033a08cec
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@ -2,14 +2,14 @@ function [ys,params,check] = NK_baseline_steadystate(ys,exo,M_,options_)
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% function [ys,params,check] = NK_baseline_steadystate(ys,exo,M_,options_)
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% computes the steady state for the NK_baseline.mod and uses a numerical
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% solver to do so
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% Inputs:
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% Inputs:
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% - ys [vector] vector of initial values for the steady state of
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% the endogenous variables
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% - exo [vector] vector of values for the exogenous variables
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% - M_ [structure] Dynare model structure
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% - options [structure] Dynare options structure
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%
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% Output:
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% Output:
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% - ys [vector] vector of steady state values for the the endogenous variables
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% - params [vector] vector of parameter values
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% - check [scalar] set to 0 if steady state computation worked and to
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@ -35,8 +35,8 @@ function [ys,params,check] = NK_baseline_steadystate(ys,exo,M_,options_)
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% read out parameters to access them with their name
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NumberOfParameters = M_.param_nbr;
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for ii = 1:NumberOfParameters
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paramname = M_.param_names{ii};
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eval([ paramname ' = M_.params(' int2str(ii) ');']);
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paramname = M_.param_names{ii};
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eval([ paramname ' = M_.params(' int2str(ii) ');']);
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end
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% initialize indicator
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check = 0;
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@ -65,6 +65,7 @@ Lambdax=mu_z;
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%set the parameter gammma1
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gammma1=mu_z*mu_I/betta-(1-delta);
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if gammma1<0 % parameter violates restriction; Preventing this cannot be implemented via prior restriction as it is a composite of different parameters and the valid prior region has unknown form
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params=M_.params;
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check=1; %set failure indicator
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return; %return without updating steady states
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end
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@ -86,13 +87,20 @@ vp=(1-thetap)/(1-thetap*PI^((1-chi)*epsilon))*PIstar^(-epsilon);
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vw=(1-thetaw)/(1-thetaw*PI^((1-chiw)*eta)*mu_z^eta)*PIstarw^(-eta);
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tempvaromega=alppha/(1-alppha)*w/r*mu_z*mu_I;
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[ld,fval,exitflag]=fzero(@(ld)(1-betta*thetaw*mu_z^(eta-1)*PI^(-(1-chiw)*(1-eta)))/(1-betta*thetaw*mu_z^(eta*(1+gammma))*PI^(eta*(1-chiw)*(1+gammma)))...
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-(eta-1)/eta*wstar/(varpsi*PIstarw^(-eta*gammma)*ld^gammma)*((1-h*mu_z^(-1))^(-1)-betta*h*(mu_z-h)^(-1))*...
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((mu_A*mu_z^(-1)*vp^(-1)*tempvaromega^alppha-tempvaromega*(1-(1-delta)*(mu_z*mu_I)^(-1)))*ld-vp^(-1)*Phi)^(-1),0.25,options);
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try
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%proper error handling for cases for infeasible initial value, which would result in error instead of valid exitflag
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[ld,fval,exitflag]=fzero(@(ld)(1-betta*thetaw*mu_z^(eta-1)*PI^(-(1-chiw)*(1-eta)))/(1-betta*thetaw*mu_z^(eta*(1+gammma))*PI^(eta*(1-chiw)*(1+gammma)))...
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-(eta-1)/eta*wstar/(varpsi*PIstarw^(-eta*gammma)*ld^gammma)*((1-h*mu_z^(-1))^(-1)-betta*h*(mu_z-h)^(-1))*...
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((mu_A*mu_z^(-1)*vp^(-1)*tempvaromega^alppha-tempvaromega*(1-(1-delta)*(mu_z*mu_I)^(-1)))*ld-vp^(-1)*Phi)^(-1),0.25,options);
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catch
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exitflag = 0;
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end
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if exitflag <1
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%indicate the SS computation was not sucessful; this would also be detected by Dynare
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%setting the indicator here shows how to use this functionality to
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%filter out parameter draws
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params=M_.params;
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check=1; %set failure indicator
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return; %return without updating steady states
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end
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@ -115,11 +123,11 @@ g2=epsilon/(epsilon-1)*g1;
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params=NaN(NumberOfParameters,1);
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for iter = 1:length(M_.params) %update parameters set in the file
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eval([ 'params(' num2str(iter) ') = ' M_.param_names{iter} ';' ])
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eval([ 'params(' num2str(iter) ') = ' M_.param_names{iter} ';' ])
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end
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NumberOfEndogenousVariables = M_.orig_endo_nbr; %auxiliary variables are set automatically
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for ii = 1:NumberOfEndogenousVariables
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varname = M_.endo_names{ii};
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eval(['ys(' int2str(ii) ') = ' varname ';']);
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varname = M_.endo_names{ii};
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eval(['ys(' int2str(ii) ') = ' varname ';']);
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end
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