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RE: st: GMM criterion function
From
"Ornaghi C." <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: GMM criterion function
Date
Mon, 13 Jan 2014 17:47:39 +0000
I have a problem with the value of the criterion function in GMM.
In the results below you can see that the value of the GMM criterion in the last iteration Q(b) = 1.416e-06 is different from the result saved in e(Q) = .000210635363449 .
I would appreciate if you could help me clarifying this difference.
Step 1
Iteration 0: GMM criterion Q(b) = 4.990e-06
Iteration 1: GMM criterion Q(b) = 1.455e-06
Iteration 2: GMM criterion Q(b) = 1.416e-06
GMM estimation
Number of parameters = 5
Number of moments = 7
Initial weight matrix: Unadjusted Number of obs = 20099
------------------------------------------------------------------------------
| Robust
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
/b1 | .6298857 29.42284 0.02 0.983 -57.03783 58.2976
/b2 | -.5015724 .7868027 -0.64 0.524 -2.043677 1.040533
/b3 | .58346 78.29432 0.01 0.994 -152.8706 154.0375
/b4 | -.500558 19.35732 -0.03 0.979 -38.44021 37.4391
/b5 | .9685305 .0525856 18.42 0.000 .8654646 1.071596
------------------------------------------------------------------------------
Instruments for equation 1: l_inp1 l_inp2 l_inp3 l_lninp1 l_lninp2 l_lninp3 _cons
scalars:
e(rank) = 5
e(N) = 20099
e(Q) = .000210635363449
e(J) = 4.233560169961503
e(J_df) = 2
e(converged) = 1
e(has_xtinst) = 0
e(type) = 2
e(n_eq) = 1
e(k) = 5
e(n_moments) = 7
e(k_aux) = 5
e(k_eq_model) = 0
e(k_eq) = 5
macros:
e(cmdline) : "gmm gmm_step2, nequation(1) nparameters(5) instrument(l_inp1 l_inp2 l_inp3 l_lninp1 l.."
e(cmd) : "gmm"
e(estat_cmd) : "gmm_estat"
e(predict) : "gmm_p"
e(marginsnotok) : "_ALL"
e(eqnames) : "1"
e(technique) : "dfp"
e(winit) : "Unadjusted"
e(estimator) : "onestep"
e(wmatrix) : "robust"
e(vce) : "robust"
e(vcetype) : "Robust"
e(evalopts) : "depvar(lny2) phi(phihat) phi_lag(phihat_lag)"
e(evalprog) : "gmm_step2"
e(params) : "b1 b2 b3 b4 b5"
e(inst_1) : "l_inp1 l_inp2 l_inp3 l_lninp1 l_lninp2 l_lninp3 _cons"
e(properties) : "b V"
matrices:
e(b) : 1 x 5
e(V) : 5 x 5
e(init) : 1 x 5
e(V_modelbased) : 5 x 5
e(S) : 7 x 7
e(W) : 7 x 7
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