From 2916aa7508ca1f298769f9ea68a1507f747105d8 Mon Sep 17 00:00:00 2001 From: michel Date: Mon, 2 Nov 2009 07:29:36 +0000 Subject: [PATCH] manual entry + test for conditional variance decomposistion git-svn-id: https://www.dynare.org/svn/dynare/trunk@3112 ac1d8469-bf42-47a9-8791-bf33cf982152 --- doc/manual.xml | 8 ++++ .../example1.mod | 46 +++++++++++++++++++ 2 files changed, 54 insertions(+) create mode 100644 tests/conditional_variance_decomposition/example1.mod diff --git a/doc/manual.xml b/doc/manual.xml index 384efcaaf..ad587e20c 100644 --- a/doc/manual.xml +++ b/doc/manual.xml @@ -1769,6 +1769,14 @@ The simulated endogenous variables are available in global matrix oo_.e Use the Anderson-Moore Algorithm (AIM) to compute the decision rules, instead of using Dynare's default method based on a generalized Schur decomposition. This option is only valid for first order approximation. See AIM website for more details on the algorithm. + + = INTEGER + + = [INTEGER1:INTEGER2] + + = [INTEGER1 INTEGER2 ...] +Computes a conditional variance decomposition for the specified period(s). Conditional variances are given by var(yt+k|t). For period 1, the conditional variance decomposition provides the decomposition of the effects of shocks upon impact. + diff --git a/tests/conditional_variance_decomposition/example1.mod b/tests/conditional_variance_decomposition/example1.mod new file mode 100644 index 000000000..84429c5b9 --- /dev/null +++ b/tests/conditional_variance_decomposition/example1.mod @@ -0,0 +1,46 @@ +// example 1 from Collard's guide to Dynare +var y, c, k, a, h, b; +varexo e,u; + +parameters beta, rho, alpha, delta, theta, psi, tau, phi; + +alpha = 0.36; +rho = 0.95; +tau = 0.025; +beta = 0.99; +delta = 0.025; +psi = 0; +theta = 2.95; + +phi = 0.1; + +model; +c*theta*h^(1+psi)=(1-alpha)*y; +k = beta*(((exp(b)*c)/(exp(b(+1))*c(+1))) + *(exp(b(+1))*alpha*y(+1)+(1-delta)*k)); +y = exp(a)*(k(-1)^alpha)*(h^(1-alpha)); +k = exp(b)*(y-c)+(1-delta)*k(-1); +a = rho*a(-1)+tau*b(-1) + e; +b = tau*a(-1)+rho*b(-1) + u; +end; + +initval; +y = 1.08068253095672; +c = 0.80359242014163; +h = 0.29175631001732; +k = 5; +a = 0; +b = 0; +e = 0; +u = 0; +end; + +shocks; +var e; stderr 0.009; +var u; stderr 0.009; +//var e, u = phi*0.009*0.009; +end; + +stoch_simul(conditional_variance_decomposition = 100,irf=0); + +stoch_simul(conditional_variance_decomposition = [1 2 3 5 10 100],irf=0) a y k;