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-------- GMM spatial model estimation functions -------- 
 
experiment     t.dat;                    % load data on votes
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 
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
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
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
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   
sar_gmmd4      : An example of using sar_gmm on a simulated large data set   
sar_gmmd5      : An example of using sar_gmm on a simulated large data set   
sem2_gmm       : computes Method of Moments Estimates for Spatial Error Model
sem2_gmmd      : An example of using sem2_gmm
sem_gmm        : computes GMM 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      : A Monte Carlo example of using sem_gmm
sem_mcarlo     : A Monte Carlo comparison of GMM sem and ML sem
sem_monte1     : A DEMO FILE CONTAINS A MONTE CARLO SIMULATION for sem_gmm
sem_monte2     : A DEMO FILE CONTAINS A MONTE CARLO SIMULATION for sem2_gmm
step2          : Determine step size in NUMZ package