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40 results

fs2000.mod

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    fs2000.mod 3.24 KiB
    /*
     * This file replicates the estimation of the cash in advance model described
     * Frank Schorfheide (2000): "Loss function-based evaluation of DSGE models",
     * Journal of Applied Econometrics, 15(6), 645-670.
     *
     * The data are in file "fsdat_simul.m", and have been artificially generated.
     * They are therefore different from the original dataset used by Schorfheide.
     *
     * The equations are taken from J. Nason and T. Cogley (1994): "Testing the
     * implications of long-run neutrality for monetary business cycle models",
     * Journal of Applied Econometrics, 9, S37-S70.
     * Note that there is an initial minus sign missing in equation (A1), p. S63.
     *
     * This implementation was written by Michel Juillard. Please note that the
     * following copyright notice only applies to this Dynare implementation of the
     * model.
     */
    
    /*
     * Copyright (C) 2004-2010 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/>.
     */
    
    var m P c e W R k d n l gy_obs gp_obs y dA;
    varexo e_a e_m;
    
    parameters alp bet gam mst rho psi del;
    
    alp = 0.33;
    bet = 0.99;
    gam = 0.003;
    mst = 1.011;
    rho = 0.7;
    psi = 0.787;
    del = 0.02;
    
    model;
    dA = exp(gam+e_a);
    log(m) = (1-rho)*log(mst) + rho*log(m(-1))+e_m;
    -P/(c(+1)*P(+1)*m)+bet*P(+1)*(alp*exp(-alp*(gam+log(e(+1))))*k^(alp-1)*n(+1)^(1-alp)+(1-del)*exp(-(gam+log(e(+1)))))/(c(+2)*P(+2)*m(+1))=0;
    W = l/n;
    -(psi/(1-psi))*(c*P/(1-n))+l/n = 0;
    R = P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(-alp)/W;
    1/(c*P)-bet*P*(1-alp)*exp(-alp*(gam+e_a))*k(-1)^alp*n^(1-alp)/(m*l*c(+1)*P(+1)) = 0;
    c+k = exp(-alp*(gam+e_a))*k(-1)^alp*n^(1-alp)+(1-del)*exp(-(gam+e_a))*k(-1);
    P*c = m;
    m-1+d = l;
    e = exp(e_a);
    y = k(-1)^alp*n^(1-alp)*exp(-alp*(gam+e_a));
    gy_obs = dA*y/y(-1);
    gp_obs = (P/P(-1))*m(-1)/dA;
    end;
    
    initval;
    k = 6;
    m = mst;
    P = 2.25;
    c = 0.45;
    e = 1;
    W = 4;
    R = 1.02;
    d = 0.85;
    n = 0.19;
    l = 0.86;
    y = 0.6;
    gy_obs = exp(gam);
    gp_obs = exp(-gam);
    dA = exp(gam);
    end;
    
    shocks;
    var e_a; stderr 0.014;
    var e_m; stderr 0.005;
    end;
    
    steady;
    
    check;
    
    estimated_params;
    alp, beta_pdf, 0.356, 0.02;
    bet, beta_pdf, 0.993, 0.002;
    gam, normal_pdf, 0.0085, 0.003;
    mst, normal_pdf, 1.0002, 0.007;
    rho, beta_pdf, 0.129, 0.223;
    psi, beta_pdf, 0.65, 0.05;
    del, beta_pdf, 0.01, 0.005;
    stderr e_a, inv_gamma_pdf, 0.035449, inf;
    stderr e_m, inv_gamma_pdf, 0.008862, inf;
    end;
    
    varobs gp_obs gy_obs;
    
    estimation(order=1, datafile=fsdat_simul, nobs=192, loglinear, mh_replic=2000, mh_nblocks=2, mh_jscale=0.8);
    
    
    /*
     * The following lines were used to generate the data file. If you want to
     * generate another random data file, comment the "estimation" line and uncomment
     * the following lines.
     */
    
    //stoch_simul(periods=200, order=1);
    //datatomfile('fsdat_simul', char('gy_obs', 'gp_obs'));