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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