contents.m

计量工具箱

%          prt_gmm : Prints output of sem_gmm, sar_gmm, sac_gmm
%          sac_gmm : computes Generalized Moments Estimates for general spatial model
%         sac_gmmd : An example of using sac_gmm on a small data set
%        sac_gmmd2 : An example of using sac_gmm on a large data set   
%          sar_gmm : computes Generalized Moments Estimates for Spatial Autoregressive Model
%         sar_gmmd : An example of using sar_gmm on a small data set
%        sar_gmmd2 : An example of using sar_gmm on a large data set   
%        sar_gmmd3 : An example of using sar_gmm on a simulated large data set   
%         sem2_gmm : computes Method of Moments Estimates for Spatial Error Model
%          sem_gmm : computes Generalized Moments Estimates for Spatial Error Model
%         sem_gmmd : An example of using sem_gmm
%        sem_gmmd2 : An example of using sem_gmm,sem2_gmm on a large data set   
%        sem_gmmd3 : A Monte Carlo comparison of sem_gmm and ML sem  
%        sem_gmmd4 : Another Monte Carlo example of using sem_gmm
%       sem_monte1 : Monte Carlo Demonstration file for sem_gmm
%       sem_monte2 : Monte Carlo Demonstration file for sem2_gmm
% utility functions:
%            step2 : Determine step size in NUMZ package
%            hessz : Calculate/update Inverse Hessian 
%           lsfunc : Evaluate least squares function m(b)'Wm(b) at b
%           lsgrad : Evaluate M(b)'Wm(b) Gradient of objective function 
%        make_html : makes HTML verion of contents.m files for the Econometrics Toolbox
%             minz : minimize general function.  Special applications
%     nllsrho_minz e of moment conditions
%    nllsrho_minz2 e to Calculate Spatial error parameter 
%             numz : Evaluate numerical derivs in MINZ package