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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