var y ${y}$ (long_name='output') y_nat ${y^{nat}}$ (long_name='natural output') y_gap ${\tilde y}$ (long_name='output gap') pi ${\pi}$ (long_name='inflation') c ${c}$ (long_name='consumption') lam ${\lambda}$ (long_name='Lagrange multiplier') n ${n}$ (long_name='hours worked') w ${w}$ (long_name='real wage') r ${r}$ (long_name='nominal interest rate') mc ${\tau}$ (long_name='Marginal cost') e ${e}$ (long_name='demand elasticty') x ${x}$ (long_name='Preference shock') a ${a}$ (long_name='AR(1) technology shock process') nu ${\nu}$ (long_name='monetary shock process') y_fd ${\varepsilon_e}$ (long_name='markup shock') w_fd ${\varepsilon_e}$ (long_name='markup shock') r_obs ${\varepsilon_e}$ (long_name='markup shock') pi_obs ${\varepsilon_e}$ (long_name='markup shock') ; varexo eps_a ${\varepsilon_a}$ (long_name='technology shock') eps_nu ${\varepsilon_\nu}$ (long_name='monetary policy shock') eps_x ${\varepsilon_x}$ (long_name='preference shock') eps_e ${\varepsilon_e}$ (long_name='markup shock') ; parameters alppha ${\alpha}$ (long_name='capital share') betta ${\beta}$ (long_name='discount factor') h ${h}$ (long_name='Parameter habit consumption') phi ${\phi}$ (long_name='unitary Frisch elasticity') chix ${\chi}$ (long_name='price indexation') rho_pi ${\phi_{\pi}}$ (long_name='inflation feedback Taylor Rule') rho_y ${\phi_{y}}$ (long_name='output feedback Taylor Rule') rho_r ${\phi_{y}}$ (long_name='degree of smoothing Taylor rule') epsilon ${\epsilon}$ (long_name='steady state demand elasticity') theta ${\theta}$ (long_name='Calvo parameter') rho_a ${\rho_{x}}$ (long_name='autocorrelation technology shock') rho_x ${\rho_{x}}$ (long_name='autocorrelation preference shock') rho_nu ${\rho_{x}}$ (long_name='autocorrelation monetary shock') ; %--------------------------------------------------------------- % Parametrization, p. 52 %--------------------------------------------------------------- alppha = 0.3; betta = 0.99; h = 0.7; phi = 1; chix = 0.6; rho_pi = 1.5; rho_y = 0.2; rho_r = 0.8; epsilon = 6; theta = 0.6; rho_a = 0.8; rho_x = 0.5; rho_nu = 0.4; %--------------------------------------------------------------- % First Order Conditions %--------------------------------------------------------------- model(linear); //1. F.O.C. consumption for Households lam*(1-(h*betta)) = x-((c-(h*c(-1)))*(1/(1-h)))-(h*betta*x(+1))+((c(+1)-(h*c))*((h*betta)/(1-h))); //2. F.O.C. leisure for Households phi*n=lam+w; //3. F.O.C. bonds for Households 0=lam(+1)-lam+r-pi(+1); //4. Average marginal cost mc=w+(y*(alppha/(1-alppha)))-(a*(1/(1-alppha))); //5. First auxiliary variable pi=((betta/(1+(betta*chix)))*pi(+1))+((chix/(1+(betta*chix)))*pi(-1))+((mc-(e*(1/(epsilon-1))))*(((1-theta*betta)*(1-theta)*(1-alppha))/((1+betta*chix)*(1-alppha+alppha*epsilon)*theta))); //8. Natural output alppha*y_nat=a-((1-alppha)*w)+(((1-alppha)/(epsilon-1))*e); //9. Taylor Rule r=(r(-1)*rho_r)+((1-rho_r)*((rho_pi*pi)+(rho_y*y_gap)))+nu; //10. Definition output gap y_gap = y-y_nat; //12. Equilibrium y=c; //13. Production function y=(n*(1-alppha))+a; //14. TFP shock a=(rho_a*a(-1))+eps_a; //15. Preference shock x=(rho_x*x(-1))+eps_x; //16. Markup shock e=((1-epsilon)/epsilon)*eps_e; //17. Monetary shock nu=(rho_nu*nu(-1))+eps_nu; //// Observation equations //18. Output y_fd = y; //19. Wage w_fd = w; //20. Interes Rate r_obs=r; //21. Inflation pi_obs=pi; end; varobs y_fd w_fd r_obs pi_obs; estimated_params; alppha, 0.3, 0, 1,beta_pdf, 0.3, 0.05; h, 0.7, 0, 1,beta_pdf, 0.33, 0.15; phi, 1, , ,gamma_pdf, 1.17, 0.351; chix, 0.6, 0, 1, beta_pdf, 0.61, 0.112; rho_pi, 1.5, 0, 10, normal_pdf, 1.5, 0.2; rho_y, 0.2, 0, 10, normal_pdf, 0.2, 0.1; theta, 0.6, 0, 1, beta_pdf, 0.61, 0.112; rho_a, 0.7, 0, 1, beta_pdf, 0.61, 0.112; rho_x, 0.5, 0, 1, beta_pdf, 0.61, 0.112; rho_nu, 0.4, 0, 1, beta_pdf, 0.61, 0.112; stderr eps_a, inv_gamma_pdf, 0.1, 2; stderr eps_nu, inv_gamma_pdf, 0.1, 2; stderr eps_x, inv_gamma_pdf, 0.1, 2; stderr eps_e, inv_gamma_pdf, 0.1, 2; end; estimated_params_init; alppha, 0.3; h, 0.7; phi, 1; chix, 0.6; rho_pi, 1.5; rho_y, 0.2; theta, 0.6; rho_a, 0.7; rho_x, 0.5; rho_nu, 0.4; stderr eps_a, 0.02; stderr eps_nu, 0.04; stderr eps_x, 0.02; stderr eps_e, 0.2; end; identification; estimation(datafile=observables_gali2_filt_119, selected_variables_only,mh_replic=0, mode_compute=0,mode_file=gali2_fd_mode,load_mh_file) y_fd w_fd y; shock_decomposition (parameter_set=posterior_mean) y y_fd; write_latex_dynamic_model;