What does # mean befor a statement
Posted: Tue Nov 13, 2012 10:39 am
Hi, I am new in dynare but learning.
I read a sample code but do not know what does # mean. Here is the example:
...
model;
# Trendk = Teand_AC + 1/(1-MUC) * Trend_Ak;
# ...
# ...
//% equations
...
I just do not know why the author define so many equations following #. It seems the model is a stochastic growth model and the author is defining stochastic trends and want to detrend the economy before writing down the other equations.
What does # mean? e.g., I know //% means that what follows it are comments.
Here are more similar statements:
model ;
# TRENDK = TREND_AC + 1/(1-MUC)*TREND_AK ;
# TRENDY = TREND_AC + MUC/(1-MUC)*TREND_AK;
# TRENDH = (1-MUH-KAPPA-MUBB)*TREND_AH + (MUH+MUBB)*TREND_AC + MUC*(MUH+MUBB)/(1-MUC)*TREND_AK ;
# TRENDQ = (1-MUH-MUBB)*TREND_AC + MUC*(1-MUH-MUBB)/(1-MUC)*TREND_AK - (1-MUH-KAPPA-MUBB)*TREND_AH ;
# llEXPTRENDY = exp ( TRENDY ) ;
# llEXPTRENDK = exp ( TRENDK ) ;
# llEXPTRENDQ = exp ( TRENDQ ) ;
# llEXPTRENDH = exp ( TRENDH ) ;
# llgamma_k = exp ( TREND_AK );
# llr = 1 / BETA ;
# llr1 = llr / llEXPTRENDY - 1 ;
# llZETA0 = BETA*llEXPTRENDK*MUC/(llgamma_k-BETA*(1-DKC))/X_SS ;
# llZETA1 = BETA*llEXPTRENDY*MUH/(1-BETA*(1-DKH));
# llZETA2 = JEI/(1-BETA*llEXPTRENDQ*(1-DH)) ;
# llZETA3 = JEI/(1-BETA1*llEXPTRENDQ*(1-DH)-llEXPTRENDQ*(BETA-BETA1)*M) ;
# llZETA4 = (llr/llEXPTRENDY-1)*M*llEXPTRENDQ/llr ;
Many thanks for your help.
I read a sample code but do not know what does # mean. Here is the example:
...
model;
# Trendk = Teand_AC + 1/(1-MUC) * Trend_Ak;
# ...
# ...
//% equations
...
I just do not know why the author define so many equations following #. It seems the model is a stochastic growth model and the author is defining stochastic trends and want to detrend the economy before writing down the other equations.
What does # mean? e.g., I know //% means that what follows it are comments.
Here are more similar statements:
model ;
# TRENDK = TREND_AC + 1/(1-MUC)*TREND_AK ;
# TRENDY = TREND_AC + MUC/(1-MUC)*TREND_AK;
# TRENDH = (1-MUH-KAPPA-MUBB)*TREND_AH + (MUH+MUBB)*TREND_AC + MUC*(MUH+MUBB)/(1-MUC)*TREND_AK ;
# TRENDQ = (1-MUH-MUBB)*TREND_AC + MUC*(1-MUH-MUBB)/(1-MUC)*TREND_AK - (1-MUH-KAPPA-MUBB)*TREND_AH ;
# llEXPTRENDY = exp ( TRENDY ) ;
# llEXPTRENDK = exp ( TRENDK ) ;
# llEXPTRENDQ = exp ( TRENDQ ) ;
# llEXPTRENDH = exp ( TRENDH ) ;
# llgamma_k = exp ( TREND_AK );
# llr = 1 / BETA ;
# llr1 = llr / llEXPTRENDY - 1 ;
# llZETA0 = BETA*llEXPTRENDK*MUC/(llgamma_k-BETA*(1-DKC))/X_SS ;
# llZETA1 = BETA*llEXPTRENDY*MUH/(1-BETA*(1-DKH));
# llZETA2 = JEI/(1-BETA*llEXPTRENDQ*(1-DH)) ;
# llZETA3 = JEI/(1-BETA1*llEXPTRENDQ*(1-DH)-llEXPTRENDQ*(BETA-BETA1)*M) ;
# llZETA4 = (llr/llEXPTRENDY-1)*M*llEXPTRENDQ/llr ;
Many thanks for your help.