From e65cca2f5d413ba0d15fd7210d2407f9f5472ffc Mon Sep 17 00:00:00 2001 From: Michael Creel Date: Mon, 3 Jun 2024 15:19:40 +0200 Subject: [PATCH] ready to retrain nets for DSGE --- .../Bayesian/CK/graphs/PriorPosterior_1.png | Bin 86282 -> 0 bytes Examples/DSGE/Bayesian/CK/graphs/Priors_1.png | Bin 65297 -> 0 bytes .../CK/model/bytecode/block/dynamic.bin | Bin 376 -> 0 bytes .../CK/model/bytecode/block/dynamic.cod | Bin 7049 -> 0 bytes .../CK/model/bytecode/block/static.bin | Bin 344 -> 0 bytes .../CK/model/bytecode/block/static.cod | Bin 6205 -> 0 bytes .../Bayesian/CK/model/bytecode/dynamic.bin | Bin 600 -> 0 bytes .../Bayesian/CK/model/bytecode/dynamic.cod | Bin 8881 -> 0 bytes .../Bayesian/CK/model/bytecode/static.bin | Bin 536 -> 0 bytes .../Bayesian/CK/model/bytecode/static.cod | Bin 7525 -> 0 bytes .../CK/model/julia/DynamicParamsDerivs.jl | 11 - .../CK/model/julia/SparseDynamicG1!.jl | 45 --- .../CK/model/julia/SparseDynamicG1TT!.jl | 9 - 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z#;o~I14CWPAq@9M_U(ncRA=8=eAE>;_iEhW9^F3^bNc_X`5*NmZesewrkL)>&d;Tq z>lgj3r@vS7mt*(ukw2U1-}g`7%6C2fujjb_u|~1j_734BUUjjSqdm`Wd+%XR+=t$K zc%3n`wIL_#S=*;;J#pC)^Fw?m{w3UJ%Rk)CFI<=>xw)QPo-f7p$+r2<@9vxWVzcc& zx@7xu*g9{xlihY->lNH`rJv{G)mq0F?h%KX-(5*KJoJ%N_WK1cOsi3e)^e>zCXlI9Q>S(a>;l0l+K-x-x0&ws(7g>8p7Zk08r^N{@y%U{`$ z`Oe?f_9h0qlbrwmC*1IwXMXXUeD#FzCFY5<`?H_^(=Y#-*Y3}L`s)wb^U_~@>9ZHR z8o{x?RMQ=6)=ym~KREl@7i01+?&M*QJVt!+>KAV1IL|@3;!5JjPY(IFuYP=t$(t>C zY~J2rrU-HRls&vo#LIoE$o<;o=nD#F;&S zGtaO(luJ17kbK$;d#Nt|&4puFakM_VuO_ZMor^H$9R}m5H*w5w_Q>7Jmt5+DI?&G= z=M#T9cYhyYu$dV7gi-#>?0-D)PCxB?-|!Q+T3O54o@Y6T-PtkEn!vU= 6 - @assert length(g1_v) == 34 - @assert length(y) == 33 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin -g1_v[1]=(-(1-params[3])); -g1_v[2]=(-1); -g1_v[3]=(-params[6]); -g1_v[4]=(-params[8]); -g1_v[5]=1; -g1_v[6]=(-1); -g1_v[7]=(-(get_power_deriv(y[13],(-params[4]),1))); -g1_v[8]=1; -g1_v[9]=(-(T[2]*params[1]*exp(y[17])*get_power_deriv(y[14],params[1]-1,1))); -g1_v[10]=(-(T[4]*exp(y[17])*(1-params[1])*T[5])); -g1_v[11]=(-(T[2]*exp(y[17])*T[5])); -g1_v[12]=1; -g1_v[13]=(-(T[1]*T[6])); -g1_v[14]=(-(exp(y[17])*(1-params[1])*T[3]*get_power_deriv(y[15],(-params[1]),1))); -g1_v[15]=(-(exp(y[17])*T[3]*T[6])); -g1_v[16]=1; -g1_v[17]=(-(T[1]*T[2])); -g1_v[18]=(-(exp(y[17])*(1-params[1])*T[3]*T[4])); -g1_v[19]=1; -g1_v[20]=(-(T[2]*exp(y[17])*T[3])); -g1_v[21]=(-(params[10]*exp(y[18]))); -g1_v[22]=1; -g1_v[23]=1; -g1_v[24]=1; -g1_v[25]=(-y[20])/(y[19]*y[19]); -g1_v[26]=1; -g1_v[27]=1/y[19]; -g1_v[28]=1; -g1_v[29]=1; -g1_v[30]=(-1); -g1_v[31]=(-(params[2]*(1+y[32]-params[3]))); -g1_v[32]=(-(params[2]*y[30])); -g1_v[33]=(-params[7]); -g1_v[34]=(-params[9]); -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicG1TT!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicG1TT!.jl deleted file mode 100644 index dfdbadb..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicG1TT!.jl +++ /dev/null @@ -1,9 +0,0 @@ -function SparseDynamicG1TT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) - SparseDynamicResidTT!(T, y, x, params, steady_state) -@inbounds begin -T[5] = get_power_deriv(y[14],params[1],1) -T[6] = get_power_deriv(y[15],1-params[1],1) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResid!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResid!.jl deleted file mode 100644 index 304feaf..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResid!.jl +++ /dev/null @@ -1,22 +0,0 @@ -function SparseDynamicResid!(T::Vector{<: Real}, residual::AbstractVector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) - @assert length(T) >= 4 - @assert length(residual) == 11 - @assert length(y) == 33 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin - residual[1] = (y[19]) - (y[13]^(-params[4])); - residual[2] = (y[20]) - (params[10]*exp(y[18])); - residual[3] = (y[21]) - (T[1]*T[2]); - residual[4] = (y[22]) - (exp(y[17])*(1-params[1])*T[3]*T[4]); - residual[5] = (y[19]) - (params[2]*y[30]*(1+y[32]-params[3])); - residual[6] = (y[20]/y[19]) - (y[22]); - residual[7] = (y[17]) - (params[6]*y[6]+params[7]*x[1]); - residual[8] = (y[18]) - (params[8]*y[7]+params[9]*x[2]); - residual[9] = (y[12]) - (T[2]*exp(y[17])*T[3]); - residual[10] = (y[16]) - (y[12]-y[13]); - residual[11] = (y[14]) - (y[5]+(1-params[3])*y[3]); -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResidTT!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResidTT!.jl deleted file mode 100644 index c139891..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseDynamicResidTT!.jl +++ /dev/null @@ -1,10 +0,0 @@ -function SparseDynamicResidTT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) -@inbounds begin -T[1] = params[1]*exp(y[17])*y[14]^(params[1]-1) -T[2] = y[15]^(1-params[1]) -T[3] = y[14]^params[1] -T[4] = y[15]^(-params[1]) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1!.jl deleted file mode 100644 index 132245d..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1!.jl +++ /dev/null @@ -1,42 +0,0 @@ -function SparseStaticG1!(T::Vector{<: Real}, g1_v::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - @assert length(T) >= 6 - @assert length(g1_v) == 28 - @assert length(y) == 11 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin -g1_v[1]=1; -g1_v[2]=(-1); -g1_v[3]=(-(get_power_deriv(y[2],(-params[4]),1))); -g1_v[4]=1; -g1_v[5]=(-(T[2]*params[1]*exp(y[6])*get_power_deriv(y[3],params[1]-1,1))); -g1_v[6]=(-(T[4]*exp(y[6])*(1-params[1])*T[5])); -g1_v[7]=(-(T[2]*exp(y[6])*T[5])); -g1_v[8]=1-(1-params[3]); -g1_v[9]=(-(T[1]*T[6])); -g1_v[10]=(-(exp(y[6])*(1-params[1])*T[3]*get_power_deriv(y[4],(-params[1]),1))); -g1_v[11]=(-(exp(y[6])*T[3]*T[6])); -g1_v[12]=1; -g1_v[13]=(-1); -g1_v[14]=(-(T[1]*T[2])); -g1_v[15]=(-(exp(y[6])*(1-params[1])*T[3]*T[4])); -g1_v[16]=1-params[6]; -g1_v[17]=(-(T[2]*exp(y[6])*T[3])); -g1_v[18]=(-(params[10]*exp(y[7]))); -g1_v[19]=1-params[8]; -g1_v[20]=1; -g1_v[21]=1-params[2]*(1+y[10]-params[3]); -g1_v[22]=(-y[9])/(y[8]*y[8]); -g1_v[23]=1; -g1_v[24]=1/y[8]; -g1_v[25]=1; -g1_v[26]=(-(y[8]*params[2])); -g1_v[27]=1; -g1_v[28]=(-1); -end - if ~isreal(g1_v) - g1_v = real(g1_v)+2*imag(g1_v); - end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1TT!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1TT!.jl deleted file mode 100644 index 79544df..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticG1TT!.jl +++ /dev/null @@ -1,9 +0,0 @@ -function SparseStaticG1TT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - SparseStaticResidTT!(T, y, x, params) -@inbounds begin -T[5] = get_power_deriv(y[3],params[1],1) -T[6] = get_power_deriv(y[4],1-params[1],1) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResid!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResid!.jl deleted file mode 100644 index 268a2bc..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResid!.jl +++ /dev/null @@ -1,25 +0,0 @@ -function SparseStaticResid!(T::Vector{<: Real}, residual::AbstractVector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - @assert length(T) >= 4 - @assert length(residual) == 11 - @assert length(y) == 11 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin - residual[1] = (y[8]) - (y[2]^(-params[4])); - residual[2] = (y[9]) - (params[10]*exp(y[7])); - residual[3] = (y[10]) - (T[1]*T[2]); - residual[4] = (y[11]) - (exp(y[6])*(1-params[1])*T[3]*T[4]); - residual[5] = (y[8]) - (y[8]*params[2]*(1+y[10]-params[3])); - residual[6] = (y[9]/y[8]) - (y[11]); - residual[7] = (y[6]) - (y[6]*params[6]+params[7]*x[1]); - residual[8] = (y[7]) - (y[7]*params[8]+params[9]*x[2]); - residual[9] = (y[1]) - (T[2]*exp(y[6])*T[3]); - residual[10] = (y[5]) - (y[1]-y[2]); - residual[11] = (y[3]) - (y[5]+y[3]*(1-params[3])); -end - if ~isreal(residual) - residual = real(residual)+imag(residual).^2; - end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResidTT!.jl b/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResidTT!.jl deleted file mode 100644 index a4db529..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SparseStaticResidTT!.jl +++ /dev/null @@ -1,10 +0,0 @@ -function SparseStaticResidTT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) -@inbounds begin -T[1] = params[1]*exp(y[6])*y[3]^(params[1]-1) -T[2] = y[4]^(1-params[1]) -T[3] = y[3]^params[1] -T[4] = y[4]^(-params[1]) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/CK/model/julia/StaticParamsDerivs.jl b/Examples/DSGE/Bayesian/CK/model/julia/StaticParamsDerivs.jl deleted file mode 100644 index a027d52..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/StaticParamsDerivs.jl +++ /dev/null @@ -1,11 +0,0 @@ -# NB: this file was automatically generated by Dynare -# from CK.mod -# -function static_params_derivs(y, x, params) -@inbounds begin -T = zeros(0) -rp = zeros(11, 15); -gp = zeros(11, 11, 15); -end -return (rp, gp) -end diff --git a/Examples/DSGE/Bayesian/CK/model/julia/SteadyState2.jl b/Examples/DSGE/Bayesian/CK/model/julia/SteadyState2.jl deleted file mode 100644 index 2eb7ae7..0000000 --- a/Examples/DSGE/Bayesian/CK/model/julia/SteadyState2.jl +++ /dev/null @@ -1,25 +0,0 @@ -# NB: this file was automatically generated by Dynare -# from CK.mod -# -function steady_state!(ys_::Vector{<: Real}, exo_::Vector{<: Real}, params::Vector{<: Real}) -@inbounds begin - params[11]=((1/params[2]+params[3]-1)/params[1])^(1/(1-params[1])); - params[14]=params[5]/params[11]; - params[12]=params[3]*params[14]; - params[13]=params[14]^params[1]*params[5]^(1-params[1]); - params[15]=params[13]-params[12]; - params[10]=params[14]^params[1]*(1-params[1])*params[15]^(-params[4])*params[5]^(-params[1]); - ys_[3]=params[14]; - ys_[4]=params[5]; - ys_[2]=params[15]; - ys_[1]=params[13]; - ys_[5]=params[12]; - ys_[8]=ys_[2]^(-params[4]); - ys_[10]=params[1]*ys_[3]^(params[1]-1)*ys_[4]^(1-params[1]); - ys_[11]=(1-params[1])*ys_[3]^params[1]*ys_[4]^(-params[1]); - ys_[9]=ys_[8]*ys_[11]; - ys_[6]=0; - ys_[7]=0; - # Auxiliary equations -end -end diff --git a/Examples/DSGE/Bayesian/CK/output/CK.jls b/Examples/DSGE/Bayesian/CK/output/CK.jls deleted file mode 100644 index e5ae7bb30af5b2956d6dbca2fecf03e6eba6ffac..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 66689 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z*x(tN-szO<;3JhKH0I<@7r{?0`&=}dC(tswnY=_wp_>h@$XjfNV-uC%I!~6wq%8c z0Lq6`)jx^O`-1f-r`F!Fx%2`1sYIE88woOKA56N;fBYp8;}x+is77`x<{xqQ&W!&H z`E==>QhN>i%1l;Ph#d{VzBFC;gH@VFuGlZ&H?e?2Um#$#(w3J@RFWu%3uD9gzJd;UV zD>d&>>z`j5ou7G*+BZwvCi^oM?_*LZTiUG#{UehhHl+twpd7nempkW$Y!H`hYF$fB zNX2;(>m|_h`1JW`v}Y#yqyyEyBF;NY)f88?Rj7Yr!;-*f>yRHd^R|B6PyNmc-H}Pnx|0## z6V|MIV}x=l6xcGc4()|oy#gjxoX32OQ^h|y*0!O(>8@P6!2BBeTP9yU&N01)d=f1d zRc^Dzd3BXjd+8qBJO}-K#G2Xa#_XzFYR*)~JeY1|n_*8M#1k=NjF6m}F4pmz#hF@ai;in zi}MTgt88ZK9?lZOxM;LC{k13JF?RW1xsiAuT_Hga<-T~ntMs2bsyFp}N_5Swj10bD z9@$<+!w2u+MR_DF>%Mjt+J{i7X&FEIT{fjXUN4bGJQHO?vLA)w@t>~Un~H7yP)|%2 z%1s`94ddoU3)|<^_Z%_VvR84Q9LkND+^|M^Inw3UoI{UJSfITB$>Xu-4bXq(bdq6n zRGzxwI7Fq4+t*eheI`TuY)n6ocxSVJHx 1, "z" => 2, "k" => 3, "y" => 4, "c" => 5, "n" => 6, "r" => 7, "w" => 8, "MUC" => 9, "MUL" => 10) - -function nlsolve_static_equations(f::Array{T,1},x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f[1] = x[2] - ((p[3])*x[2] + (p[4]) * 0.0) - f[2] = x[1] - ((p[5])*x[1] + (p[6]) * 0.0) - f[3] = x[10] - ((p[7])*exp(x[1])) - f[4] = x[9] - (x[5]^(-(p[2]))) - f[5] = x[7] - ((0.33) * exp(x[2]) * x[3]^((0.33)-1) * x[6]^(1-(0.33))) - f[6] = x[8] - ((1-(0.33))*exp(x[2])* x[3]^(0.33) * x[6]^(-(0.33))) - f[7] = x[9] - ((p[1])*x[9] * (1 + x[7] - (0.025))) - f[8] = x[4] - (exp(x[2]) * (x[3]^(0.33)) * (x[6]^(1-(0.33)))) - f[9] = x[3] - (x[4] - x[5] + (1-(0.025))*x[3]) - f[10] = x[8] - (x[10]/x[9]) - -end - -function static_equations(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = Array{T,1}(undef,length(x)) - - f[1] = x[2] - ((p[3])*x[2] + (p[4]) * 0.0) - f[2] = x[1] - ((p[5])*x[1] + (p[6]) * 0.0) - f[3] = x[10] - ((p[7])*exp(x[1])) - f[4] = x[9] - (x[5]^(-(p[2]))) - f[5] = x[7] - ((0.33) * exp(x[2]) * x[3]^((0.33)-1) * x[6]^(1-(0.33))) - f[6] = x[8] - ((1-(0.33))*exp(x[2])* x[3]^(0.33) * x[6]^(-(0.33))) - f[7] = x[9] - ((p[1])*x[9] * (1 + x[7] - (0.025))) - f[8] = x[4] - (exp(x[2]) * (x[3]^(0.33)) * (x[6]^(1-(0.33)))) - f[9] = x[3] - (x[4] - x[5] + (1-(0.025))*x[3]) - f[10] = x[8] - (x[10]/x[9]) - - return f - -end - -function dynamic_equations(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = Array{T,1}(undef,10) - - f[1] = x[12] - ((p[3])*x[2] + (p[4]) * x[21]) - f[2] = x[11] - ((p[5])*x[1] + (p[6]) * x[22]) - f[3] = x[10] - ((p[7])*exp(x[1])) - f[4] = x[9] - (x[5]^(-(p[2]))) - f[5] = x[7] - ((0.33) * exp(x[2]) * x[3]^((0.33)-1) * x[6]^(1-(0.33))) - f[6] = x[8] - ((1-(0.33))*exp(x[2])* x[3]^(0.33) * x[6]^(-(0.33))) - f[7] = x[9] - ((p[1])*x[19] * (1 + x[17] - (0.025))) - f[8] = x[4] - (exp(x[2]) * (x[3]^(0.33)) * (x[6]^(1-(0.33)))) - f[9] = x[13] - (x[4] - x[5] + (1-(0.025))*x[3]) - f[10] = x[8] - (x[10]/x[9]) - - return f - -end - -function dynamic_eqn_1(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[12] - ((p[3])*x[2] + (p[4]) * x[21]) - - return f - -end - -function dynamic_eqn_2(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[11] - ((p[5])*x[1] + (p[6]) * x[22]) - - return f - -end - -function dynamic_eqn_3(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[10] - ((p[7])*exp(x[1])) - - return f - -end - -function dynamic_eqn_4(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[9] - (x[5]^(-(p[2]))) - - return f - -end - -function dynamic_eqn_5(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[7] - ((0.33) * exp(x[2]) * x[3]^((0.33)-1) * x[6]^(1-(0.33))) - - return f - -end - -function dynamic_eqn_6(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[8] - ((1-(0.33))*exp(x[2])* x[3]^(0.33) * x[6]^(-(0.33))) - - return f - -end - -function dynamic_eqn_7(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[9] - ((p[1])*x[19] * (1 + x[17] - (0.025))) - - return f - -end - -function dynamic_eqn_8(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[4] - (exp(x[2]) * (x[3]^(0.33)) * (x[6]^(1-(0.33)))) - - return f - -end - -function dynamic_eqn_9(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[13] - (x[4] - x[5] + (1-(0.025))*x[3]) - - return f - -end - -function dynamic_eqn_10(x::Array{T,1},p::Array{T1,1}) where {T<:Number,T1<:Real} - - f = x[8] - (x[10]/x[9]) - - return f - -end - -individual_equations = Array{Function}(undef,10) -individual_equations[1] = dynamic_eqn_1 -individual_equations[2] = dynamic_eqn_2 -individual_equations[3] = dynamic_eqn_3 -individual_equations[4] = dynamic_eqn_4 -individual_equations[5] = dynamic_eqn_5 -individual_equations[6] = dynamic_eqn_6 -individual_equations[7] = dynamic_eqn_7 -individual_equations[8] = dynamic_eqn_8 -individual_equations[9] = dynamic_eqn_9 -individual_equations[10] = dynamic_eqn_10 - -function closure_chebyshev_equations(state,scaled_weights,order,domain,p) - - function chebyshev_equations(f::Array{T,1},x::Array{T,1}) where {T<:Number} - - approx4 = chebyshev_evaluate(scaled_weights[1],x[7+1:end],order,domain) - approx6 = chebyshev_evaluate(scaled_weights[2],x[7+1:end],order,domain) - - #f = Array{T,1}(undef,10) - - f[1] = x[9] - ((p[3])*state[2] + (p[4]) * 0.0) - f[2] = x[8] - ((p[5])*state[1] + (p[6]) * 0.0) - f[3] = x[7] - ((p[7])*exp(state[1])) - f[4] = x[6] - (x[2]^(-(p[2]))) - f[5] = x[4] - ((0.33) * exp(state[2]) * state[3]^((0.33)-1) * x[3]^(1-(0.33))) - f[6] = x[5] - ((1-(0.33))*exp(state[2])* state[3]^(0.33) * x[3]^(-(0.33))) - f[7] = x[6] - ((p[1])*approx6 * (1 + approx4 - (0.025))) - f[8] = x[1] - (exp(state[2]) * (state[3]^(0.33)) * (x[3]^(1-(0.33)))) - f[9] = x[10] - (x[1] - x[2] + (1-(0.025))*state[3]) - f[10] = x[5] - (x[7]/x[6]) - - #return f - - end - - return chebyshev_equations - -end - -function closure_smolyak_equations(state,scaled_weights,order,domain,p) - - function smolyak_equations(f::Array{T,1},x::Array{T,1}) where {T<:Number} - - poly = smolyak_polynomial(x[7+1:end],order,domain) - approx4 = smolyak_evaluate(scaled_weights[1],poly) - approx6 = smolyak_evaluate(scaled_weights[2],poly) - - #f = Array{T,1}(undef,10) - - f[1] = x[9] - ((p[3])*state[2] + (p[4]) * 0.0) - f[2] = x[8] - ((p[5])*state[1] + (p[6]) * 0.0) - f[3] = x[7] - ((p[7])*exp(state[1])) - f[4] = x[6] - (x[2]^(-(p[2]))) - f[5] = x[4] - ((0.33) * exp(state[2]) * state[3]^((0.33)-1) * x[3]^(1-(0.33))) - f[6] = x[5] - ((1-(0.33))*exp(state[2])* state[3]^(0.33) * x[3]^(-(0.33))) - f[7] = x[6] - ((p[1])*approx6 * (1 + approx4 - (0.025))) - f[8] = x[1] - (exp(state[2]) * (state[3]^(0.33)) * (x[3]^(1-(0.33)))) - f[9] = x[10] - (x[1] - x[2] + (1-(0.025))*state[3]) - f[10] = x[5] - (x[7]/x[6]) - - #return f - - end - - return smolyak_equations - -end - -function closure_hcross_equations(state,scaled_weights,order,domain,p) - - function hcross_equations(f::Array{T,1},x::Array{T,1}) where {T<:Number} - - poly = hyperbolic_cross_polynomial(x[7+1:end],order,domain) - approx4 = hyperbolic_cross_evaluate(scaled_weights[1],poly) - approx6 = hyperbolic_cross_evaluate(scaled_weights[2],poly) - - #f = Array{T,1}(undef,10) - - f[1] = x[9] - ((p[3])*state[2] + (p[4]) * 0.0) - f[2] = x[8] - ((p[5])*state[1] + (p[6]) * 0.0) - f[3] = x[7] - ((p[7])*exp(state[1])) - f[4] = x[6] - (x[2]^(-(p[2]))) - f[5] = x[4] - ((0.33) * exp(state[2]) * state[3]^((0.33)-1) * x[3]^(1-(0.33))) - f[6] = x[5] - ((1-(0.33))*exp(state[2])* state[3]^(0.33) * x[3]^(-(0.33))) - f[7] = x[6] - ((p[1])*approx6 * (1 + approx4 - (0.025))) - f[8] = x[1] - (exp(state[2]) * (state[3]^(0.33)) * (x[3]^(1-(0.33)))) - f[9] = x[10] - (x[1] - x[2] + (1-(0.025))*state[3]) - f[10] = x[5] - (x[7]/x[6]) - - #return f - - end - - return hcross_equations - -end - -function closure_piecewise_equations(variables,grid,state,integrals,p) - - function piecewise_equations(f::Array{T,1},x::Array{T,1}) where {T<:Number} - - approx4 = piecewise_linear_evaluate(variables[4],grid,x[7+1:end],integrals) - approx6 = piecewise_linear_evaluate(variables[6],grid,x[7+1:end],integrals) - - #f = Array{T,1}(undef,10) - - f[1] = x[9] - ((p[3])*state[2] + (p[4]) * 0.0) - f[2] = x[8] - ((p[5])*state[1] + (p[6]) * 0.0) - f[3] = x[7] - ((p[7])*exp(state[1])) - f[4] = x[6] - (x[2]^(-(p[2]))) - f[5] = x[4] - ((0.33) * exp(state[2]) * state[3]^((0.33)-1) * x[3]^(1-(0.33))) - f[6] = x[5] - ((1-(0.33))*exp(state[2])* state[3]^(0.33) * x[3]^(-(0.33))) - f[7] = x[6] - ((p[1])*approx6 * (1 + approx4 - (0.025))) - f[8] = x[1] - (exp(state[2]) * (state[3]^(0.33)) * (x[3]^(1-(0.33)))) - f[9] = x[10] - (x[1] - x[2] + (1-(0.025))*state[3]) - f[10] = x[5] - (x[7]/x[6]) - - #return f - - end - - return piecewise_equations - -end - -unassigned_parameters = ["β", "γ", "ρ₁", "σ₁", "ρ₂", "σ₂", "ψ"] - -solvers = "Any" \ No newline at end of file diff --git a/Examples/DSGE/Bayesian/MonteCarlo/CKlib.jl b/Examples/DSGE/Bayesian/MonteCarlo/CKlib.jl deleted file mode 120000 index 2705398..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/CKlib.jl +++ /dev/null @@ -1 +0,0 @@ -../../GenData/CKlib.jl \ No newline at end of file diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.log b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.log deleted file mode 100644 index aff4281..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.log +++ /dev/null @@ -1,41 +0,0 @@ -Dynare version: 0.9.12 -2024-06-01T10:13:41.212: Starting @dynare MonteCarlo.mod -["MonteCarlo.mod", "language=julia", "json=compute"] -Dynare preprocessor version: 6.4.0+0 -2024-06-01T10:13:41.267: End of preprocessing -2024-06-01T10:13:41.327: Start parse_statements! - * Status: success - - * Candidate solution - Final objective value: -1.227896e+03 - - * Found with - Algorithm: BFGS - - * Convergence measures - |x - x'| = 1.03e-02 ≰ 0.0e+00 - |x - x'|/|x'| = 2.99e-03 ≰ 0.0e+00 - |f(x) - f(x')| = 4.02e-04 ≰ 0.0e+00 - |f(x) - f(x')|/|f(x')| = 3.27e-07 ≤ 1.0e-05 - |g(x)| = 5.71e-02 ≰ 1.0e-08 - - * Work counters - Seconds run: 0 (vs limit Inf) - Iterations: 14 - f(x) calls: 41 - ∇f(x) calls: 41 - - Posterior mode - -───────────┬────────────────────────────────────────────────────────── - Parameter │ Estimated value Standard error 80% confidence interval -────────────────────────────────────────────────────────────────────── - betta │ 0.9935 0.0014 0.9917 .. 0.9953 - gam │ 1.9923 0.1345 1.8201 .. 2.1645 - rho1 │ 0.9094 0.0064 0.9012 .. 0.9175 - sigma1 │ 0.0228 0.0016 0.0208 .. 0.0249 - rho2 │ 0.7264 0.0498 0.6626 .. 0.7902 - sigma2 │ 0.0084 0.0008 0.0074 .. 0.0094 - nss │ 0.3314 0.0015 0.3294 .. 0.3333 -───────────┴────────────────────────────────────────────────────────── - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.mod b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.mod deleted file mode 100644 index c692445..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo.mod +++ /dev/null @@ -1,77 +0,0 @@ -// The two shock model from Creel and Kristensen "Indirect Likelihood Inference" -// This takes steady state of hours as given, and computes the psi -// parameter that corresponds. - -var y c k n invest z1 z2 MUC MUL r w; -varexo e1 e2; - -parameters alppha betta delta gam nss rho1 sigma1 rho2 sigma2 psi c1 iss yss kss css; - -alppha = 0.33; -betta = 0.99; -delta = 0.025; -gam = 2.0; -rho1 = 0.9; -sigma1 = 0.02; -rho2 = 0.7; -sigma2 = 0.01; -nss =1/3; - -model; - MUC = (c)^(-gam); - MUL = psi*exp(z2); - r = alppha * exp(z1) * k^(alppha-1) * n^(1-alppha); - w = (1-alppha)*exp(z1)* k^alppha * n^(-alppha); - MUC = betta*MUC(+1) * (1 + r(+1) - delta); - MUL/MUC = w; - z1 = rho1*z1(-1) + sigma1*e1; - z2 = rho2*z2(-1) + sigma2*e2; - y = exp(z1) * (k^alppha) * (n^(1-alppha)); - invest = y - c; - k = invest(-1) + (1-delta)*k(-1); -end; - -shocks; -var e1 = 1; -var e2 = 1; -end; - -steady_state_model; -c1 = ((1/betta + delta - 1)/alppha)^(1/(1-alppha)); -kss = nss/c1; -iss = delta*kss; -yss = kss^alppha * nss^(1-alppha); -css = yss - iss; -psi = (css^(-gam)) * (1-alppha) * (kss^alppha) * (nss^(-alppha)); -k = kss; -n = nss; -c = css; -y = yss; -invest = iss; -MUC = c^(-gam); -r = alppha * k^(alppha-1) * n^(1-alppha); -w = (1-alppha)* (k)^alppha * n^(-alppha); -MUL = w*MUC; -z1 = 0; -z2 = 0; -end; - -estimated_params; -// start values for the optimization -// the numbers after the comment are the true -// values used to generate the data. -betta , 0.99 , uniform_pdf , 0.9724 , 0.01299; // 0.99 -gam , 2.0 , uniform_pdf , 2.5 , 1.4434; // 2.0 -rho1 , 0.9 , uniform_pdf , 0.4975 , 0.28723; // 0.9 -sigma1 , 0.02 , uniform_pdf , 0.05 , 0.02887; // 0.02 -rho2 , 0.7 , uniform_pdf , 0.4975 , 0.28723; // 0.7 -sigma2 , 0.01 , uniform_pdf , 0.05 , 0.02887; // 0.01 -nss , .3333 , uniform_pdf , 0.3125 , 0.03608; // 1/3 -end; - -varobs c n; // experiment choosing one or two from y c n r w - -// Does a single fairly short chain -estimation(order=1, datafile='../../GenData/MCdata/mcdata-design-2.csv', mh_replic=5000, mh_jscale=5.) ; - - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/graphs/PriorPosterior_1.png 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b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/DynamicParamsDerivs.jl deleted file mode 100644 index ebf02ed..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/DynamicParamsDerivs.jl +++ /dev/null @@ -1,11 +0,0 @@ -# NB: this file was automatically generated by Dynare -# from MonteCarlo.mod -# -function dynamic_params_derivs(y, x, params, steady_state, it_,ss_param_deriv, ss_param_2nd_deriv) -@inbounds begin -T = zeros(0) -rp = zeros(11, 15); -gp = zeros(11, 19, 15); -end -return (rp, gp) -end diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1!.jl deleted file mode 100644 index 818f26a..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1!.jl +++ /dev/null @@ -1,45 +0,0 @@ -function SparseDynamicG1!(T::Vector{<: Real}, g1_v::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) - @assert length(T) >= 6 - @assert length(g1_v) == 34 - @assert length(y) == 33 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin -g1_v[1]=(-(1-params[3])); -g1_v[2]=(-1); -g1_v[3]=(-params[6]); -g1_v[4]=(-params[8]); -g1_v[5]=1; -g1_v[6]=(-1); -g1_v[7]=(-(get_power_deriv(y[13],(-params[4]),1))); -g1_v[8]=1; -g1_v[9]=(-(T[2]*params[1]*exp(y[17])*get_power_deriv(y[14],params[1]-1,1))); -g1_v[10]=(-(T[4]*exp(y[17])*(1-params[1])*T[5])); -g1_v[11]=(-(T[2]*exp(y[17])*T[5])); -g1_v[12]=1; -g1_v[13]=(-(T[1]*T[6])); -g1_v[14]=(-(exp(y[17])*(1-params[1])*T[3]*get_power_deriv(y[15],(-params[1]),1))); -g1_v[15]=(-(exp(y[17])*T[3]*T[6])); -g1_v[16]=1; -g1_v[17]=(-(T[1]*T[2])); -g1_v[18]=(-(exp(y[17])*(1-params[1])*T[3]*T[4])); -g1_v[19]=1; -g1_v[20]=(-(T[2]*exp(y[17])*T[3])); -g1_v[21]=(-(params[10]*exp(y[18]))); -g1_v[22]=1; -g1_v[23]=1; -g1_v[24]=1; -g1_v[25]=(-y[20])/(y[19]*y[19]); -g1_v[26]=1; -g1_v[27]=1/y[19]; -g1_v[28]=1; -g1_v[29]=1; -g1_v[30]=(-1); -g1_v[31]=(-(params[2]*(1+y[32]-params[3]))); -g1_v[32]=(-(params[2]*y[30])); -g1_v[33]=(-params[7]); -g1_v[34]=(-params[9]); -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1TT!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1TT!.jl deleted file mode 100644 index dfdbadb..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicG1TT!.jl +++ /dev/null @@ -1,9 +0,0 @@ -function SparseDynamicG1TT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) - SparseDynamicResidTT!(T, y, x, params, steady_state) -@inbounds begin -T[5] = get_power_deriv(y[14],params[1],1) -T[6] = get_power_deriv(y[15],1-params[1],1) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResid!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResid!.jl deleted file mode 100644 index 304feaf..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResid!.jl +++ /dev/null @@ -1,22 +0,0 @@ -function SparseDynamicResid!(T::Vector{<: Real}, residual::AbstractVector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) - @assert length(T) >= 4 - @assert length(residual) == 11 - @assert length(y) == 33 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin - residual[1] = (y[19]) - (y[13]^(-params[4])); - residual[2] = (y[20]) - (params[10]*exp(y[18])); - residual[3] = (y[21]) - (T[1]*T[2]); - residual[4] = (y[22]) - (exp(y[17])*(1-params[1])*T[3]*T[4]); - residual[5] = (y[19]) - (params[2]*y[30]*(1+y[32]-params[3])); - residual[6] = (y[20]/y[19]) - (y[22]); - residual[7] = (y[17]) - (params[6]*y[6]+params[7]*x[1]); - residual[8] = (y[18]) - (params[8]*y[7]+params[9]*x[2]); - residual[9] = (y[12]) - (T[2]*exp(y[17])*T[3]); - residual[10] = (y[16]) - (y[12]-y[13]); - residual[11] = (y[14]) - (y[5]+(1-params[3])*y[3]); -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResidTT!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResidTT!.jl deleted file mode 100644 index c139891..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseDynamicResidTT!.jl +++ /dev/null @@ -1,10 +0,0 @@ -function SparseDynamicResidTT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}, steady_state::Vector{<: Real}) -@inbounds begin -T[1] = params[1]*exp(y[17])*y[14]^(params[1]-1) -T[2] = y[15]^(1-params[1]) -T[3] = y[14]^params[1] -T[4] = y[15]^(-params[1]) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1!.jl deleted file mode 100644 index 132245d..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1!.jl +++ /dev/null @@ -1,42 +0,0 @@ -function SparseStaticG1!(T::Vector{<: Real}, g1_v::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - @assert length(T) >= 6 - @assert length(g1_v) == 28 - @assert length(y) == 11 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin -g1_v[1]=1; -g1_v[2]=(-1); -g1_v[3]=(-(get_power_deriv(y[2],(-params[4]),1))); -g1_v[4]=1; -g1_v[5]=(-(T[2]*params[1]*exp(y[6])*get_power_deriv(y[3],params[1]-1,1))); -g1_v[6]=(-(T[4]*exp(y[6])*(1-params[1])*T[5])); -g1_v[7]=(-(T[2]*exp(y[6])*T[5])); -g1_v[8]=1-(1-params[3]); -g1_v[9]=(-(T[1]*T[6])); -g1_v[10]=(-(exp(y[6])*(1-params[1])*T[3]*get_power_deriv(y[4],(-params[1]),1))); -g1_v[11]=(-(exp(y[6])*T[3]*T[6])); -g1_v[12]=1; -g1_v[13]=(-1); -g1_v[14]=(-(T[1]*T[2])); -g1_v[15]=(-(exp(y[6])*(1-params[1])*T[3]*T[4])); -g1_v[16]=1-params[6]; -g1_v[17]=(-(T[2]*exp(y[6])*T[3])); -g1_v[18]=(-(params[10]*exp(y[7]))); -g1_v[19]=1-params[8]; -g1_v[20]=1; -g1_v[21]=1-params[2]*(1+y[10]-params[3]); -g1_v[22]=(-y[9])/(y[8]*y[8]); -g1_v[23]=1; -g1_v[24]=1/y[8]; -g1_v[25]=1; -g1_v[26]=(-(y[8]*params[2])); -g1_v[27]=1; -g1_v[28]=(-1); -end - if ~isreal(g1_v) - g1_v = real(g1_v)+2*imag(g1_v); - end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1TT!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1TT!.jl deleted file mode 100644 index 79544df..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticG1TT!.jl +++ /dev/null @@ -1,9 +0,0 @@ -function SparseStaticG1TT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - SparseStaticResidTT!(T, y, x, params) -@inbounds begin -T[5] = get_power_deriv(y[3],params[1],1) -T[6] = get_power_deriv(y[4],1-params[1],1) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResid!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResid!.jl deleted file mode 100644 index 268a2bc..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResid!.jl +++ /dev/null @@ -1,25 +0,0 @@ -function SparseStaticResid!(T::Vector{<: Real}, residual::AbstractVector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) - @assert length(T) >= 4 - @assert length(residual) == 11 - @assert length(y) == 11 - @assert length(x) == 2 - @assert length(params) == 15 -@inbounds begin - residual[1] = (y[8]) - (y[2]^(-params[4])); - residual[2] = (y[9]) - (params[10]*exp(y[7])); - residual[3] = (y[10]) - (T[1]*T[2]); - residual[4] = (y[11]) - (exp(y[6])*(1-params[1])*T[3]*T[4]); - residual[5] = (y[8]) - (y[8]*params[2]*(1+y[10]-params[3])); - residual[6] = (y[9]/y[8]) - (y[11]); - residual[7] = (y[6]) - (y[6]*params[6]+params[7]*x[1]); - residual[8] = (y[7]) - (y[7]*params[8]+params[9]*x[2]); - residual[9] = (y[1]) - (T[2]*exp(y[6])*T[3]); - residual[10] = (y[5]) - (y[1]-y[2]); - residual[11] = (y[3]) - (y[5]+y[3]*(1-params[3])); -end - if ~isreal(residual) - residual = real(residual)+imag(residual).^2; - end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResidTT!.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResidTT!.jl deleted file mode 100644 index a4db529..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SparseStaticResidTT!.jl +++ /dev/null @@ -1,10 +0,0 @@ -function SparseStaticResidTT!(T::Vector{<: Real}, y::Vector{<: Real}, x::Vector{<: Real}, params::Vector{<: Real}) -@inbounds begin -T[1] = params[1]*exp(y[6])*y[3]^(params[1]-1) -T[2] = y[4]^(1-params[1]) -T[3] = y[3]^params[1] -T[4] = y[4]^(-params[1]) -end - return nothing -end - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/StaticParamsDerivs.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/StaticParamsDerivs.jl deleted file mode 100644 index c36dcd8..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/StaticParamsDerivs.jl +++ /dev/null @@ -1,11 +0,0 @@ -# NB: this file was automatically generated by Dynare -# from MonteCarlo.mod -# -function static_params_derivs(y, x, params) -@inbounds begin -T = zeros(0) -rp = zeros(11, 15); -gp = zeros(11, 11, 15); -end -return (rp, gp) -end diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SteadyState2.jl b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SteadyState2.jl deleted file mode 100644 index 8e16132..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/model/julia/SteadyState2.jl +++ /dev/null @@ -1,25 +0,0 @@ -# NB: this file was automatically generated by Dynare -# from MonteCarlo.mod -# -function steady_state!(ys_::Vector{<: Real}, exo_::Vector{<: Real}, params::Vector{<: Real}) -@inbounds begin - params[11]=((1/params[2]+params[3]-1)/params[1])^(1/(1-params[1])); - params[14]=params[5]/params[11]; - params[12]=params[3]*params[14]; - params[13]=params[14]^params[1]*params[5]^(1-params[1]); - params[15]=params[13]-params[12]; - params[10]=params[14]^params[1]*(1-params[1])*params[15]^(-params[4])*params[5]^(-params[1]); - ys_[3]=params[14]; - ys_[4]=params[5]; - ys_[2]=params[15]; - ys_[1]=params[13]; - ys_[5]=params[12]; - ys_[8]=ys_[2]^(-params[4]); - ys_[10]=params[1]*ys_[3]^(params[1]-1)*ys_[4]^(1-params[1]); - ys_[11]=(1-params[1])*ys_[3]^params[1]*ys_[4]^(-params[1]); - ys_[9]=ys_[8]*ys_[11]; - ys_[6]=0; - ys_[7]=0; - # Auxiliary equations -end -end diff --git a/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/output/MonteCarlo.jls b/Examples/DSGE/Bayesian/MonteCarlo/MonteCarlo/output/MonteCarlo.jls deleted file mode 100644 index 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z^_T%D2Q{MR!(8%tnN8)!)1f1f4^>IUF!Uhy=hgP3ACt)a#Y{`X-e3JUwI^fnL_-LPuKS{H-=Su*_3lA)lG*M<#(eb%fq(v`%{Qb@;0_b0rP SCdt(Elni#L`QM~u1^x|(HA3G2 diff --git a/Examples/DSGE/Bayesian/MonteCarlo/Results.jl b/Examples/DSGE/Bayesian/MonteCarlo/Results.jl deleted file mode 100644 index ea1411f..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/Results.jl +++ /dev/null @@ -1,17 +0,0 @@ -using Statistics, DelimitedFiles, PrettyTables -cd(@__DIR__) -# get the things to define the structure for the model -include("CKlib.jl") # contains the functions for the DSGE model - -posmeans = readdlm("posmeans") -θtrue = TrueParameters() -errs = posmeans .- θtrue' -b = mean(errs, dims=1)[:] -m = b .+ θtrue -s = std(errs, dims=1)[:] -r = sqrt.(b.^2 + s.^2)[:] -names = ["β", "γ", "ρ₁", "σ₁", "ρ₂", "σ₂", "nss"] -printstyled("Monte Carlo Bayesian full sample (linearized model, using c and n), 1000 reps\n", color=:green) -pretty_table([names round.([TrueParameters() m b s r],digits=4)], - header=["parameter", "True", "mean", "bias", "st. dev.", "rmse"]) - diff --git a/Examples/DSGE/Bayesian/MonteCarlo/TEMPLATE.mod b/Examples/DSGE/Bayesian/MonteCarlo/TEMPLATE.mod deleted file mode 100644 index 08bf40f..0000000 --- a/Examples/DSGE/Bayesian/MonteCarlo/TEMPLATE.mod +++ /dev/null @@ -1,77 +0,0 @@ -// The two shock model from Creel and Kristensen "Indirect Likelihood Inference" -// This takes steady state of hours as given, and computes the psi -// parameter that corresponds. - -var y c k n invest z1 z2 MUC MUL r w; -varexo e1 e2; - -parameters alppha betta delta gam nss rho1 sigma1 rho2 sigma2 psi c1 iss yss kss css; - -alppha = 0.33; -betta = 0.99; -delta = 0.025; -gam = 2.0; -rho1 = 0.9; -sigma1 = 0.02; -rho2 = 0.7; -sigma2 = 0.01; -nss =1/3; - -model; - MUC = (c)^(-gam); - MUL = psi*exp(z2); - r = alppha * exp(z1) * k^(alppha-1) * n^(1-alppha); - w = (1-alppha)*exp(z1)* k^alppha * n^(-alppha); - MUC = betta*MUC(+1) * (1 + r(+1) - delta); - MUL/MUC = w; - z1 = rho1*z1(-1) + sigma1*e1; - z2 = rho2*z2(-1) + sigma2*e2; - y = exp(z1) * (k^alppha) * (n^(1-alppha)); - invest = y - c; - k = invest(-1) + (1-delta)*k(-1); -end; - -shocks; -var e1 = 1; -var e2 = 1; -end; - -steady_state_model; -c1 = ((1/betta + delta - 1)/alppha)^(1/(1-alppha)); -kss = nss/c1; -iss = delta*kss; -yss = kss^alppha * nss^(1-alppha); -css = yss - iss; -psi = (css^(-gam)) * (1-alppha) * (kss^alppha) * (nss^(-alppha)); -k = kss; -n = nss; -c = css; -y = yss; -invest = iss; -MUC = c^(-gam); -r = alppha * k^(alppha-1) * n^(1-alppha); -w = (1-alppha)* (k)^alppha * n^(-alppha); -MUL = w*MUC; -z1 = 0; -z2 = 0; -end; - -estimated_params; -// start values for the optimization -// the numbers after the comment are the true -// values used to generate the data. -betta , 0.99 , uniform_pdf , 0.9724 , 0.01299; // 0.99 -gam , 2.0 , uniform_pdf , 2.5 , 1.4434; // 2.0 -rho1 , 0.9 , uniform_pdf , 0.4975 , 0.28723; // 0.9 -sigma1 , 0.02 , uniform_pdf , 0.05 , 0.02887; // 0.02 -rho2 , 0.7 , uniform_pdf , 0.4975 , 0.28723; 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{1..1000} -do - cp TEMPLATE.mod MonteCarlo.mod - sed -i "s/REPLACE/$i/"g MonteCarlo.mod - julia --proj --eval 'using Dynare, DelimitedFiles, Serialization, Statistics; c = @dynare "MonteCarlo.mod"; writedlm("posmean", mean((deserialize("./MonteCarlo/output/mcmc_chain_1.jls").value)[:,1:end-1],dims=1))' - if [ $i -eq 1 ]; then mv posmean posmeans; else cat posmeans posmean >> posmeans; fi -done -rm posmean -rm -R -f MonteCarlo -rm MonteCarlo.log