Hi all,
So I estimate the beta's using GMM in MATA.
: void GMM_DL(todo,betas,crit,g,H)
{
PHI=st_data(.,("phi"))
PHI_LAG=st_data(.,("phi_lag"))
Z=st_data(.,(" lagloglab laglogmat logcapital "))
X=st_data(.,(" logcapital logmaterials loglabor "))
X=st_data(.,(" logcapital logmaterials loglabor "))
X_lag=st_data(.,(" lagloglab laglogmat logcapital "))
Y=st_data(.,(" logdeflatedrevenue "))
QR_lag=st_data(.,(" logprevioustariff "))
C=st_data(.,("const"))
OMEGA=PHI-X*betas'
OMEGA_lag=PHI_LAG-X_lag*betas'
OMEGA_lag_pol=(C,OMEGA_lag,QR_lag)
g_b = invsym(OMEGA_lag_pol'OMEGA_lag_pol)*OMEGA_lag_pol' OMEGA
XI=OMEGA-OMEGA_lag_pol*g_b
crit=(Z'XI)'(Z'XI)
}
: void DL()
{
S=optimize_init()
optimize_init_evaluator(S, &GMM_DL())
optimize_init_evaluatortype(S,"d0")
optimize_init_technique(S, "nm")
optimize_init_nmsimplexdeltas(S, 0.1)
optimize_init_which(S,"min")
optimize_init_params(S,(2,0.8,0.2))
p=optimize(S)
p
st_matrix("beta_NP",p)
}
I save the matrix and get beta's.
My question is: how do I get to know the significance and SD of the coefficients?. The matrix only shows the beta's.
Thanks!
Related Posts with how do we get the significance of Beta's
Analysis of survey data - How to create latent variables that can be used for regression?Hey Stata Users! I am currently writing my master thesis and I am stuck with my analysis. I have a …
Pseudo-R^2 after matching with atts.adoDear all, I am currently trying to apply different propensity score matching estimators to my data.…
Renaming Variables from string in other variabelHi there, I have a peculiar problem. We are working with panachage voting from Swiss elections. Our…
Data FilteringI am working with WRDS data. A short sample (not real) is pasted below (sorry for the formatting of …
Generating a slope variable for longitudinal data for use in matching equationHi Statalist users, I want to know how I would generate a variable whose values are the slope or gr…
Subscribe to:
Post Comments (Atom)
0 Response to how do we get the significance of Beta's
Post a Comment