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You may have found the solution in the meantime, otherwise my belated reply is: the Sargan is significant, thus your instruments may be not valid. But no suggestion on how to move on (I prefer other methods like -xtlsdvc- (from SSC) or the inverse probability of treatment weights (IPTW) (see Epidemiology, 11: 550-560 and see Jamie Robins and Miguel Hernan both Harvard School of Public Health, they have a website with all the relevant papers)
Nicola P.S. I'll NOT receive/read any email but the Digest. At 02.33 19/11/2008 -0500, "Eleonora Bartoloni06" wrote: >** High Priority ** > >Hallo, > >I have performed the xtabond procedure in stata.10 and I have obtained the following results. > >xtabond ros q_immmat leverage vafat offat innset add coslva d1998 d2003, inst(north_we n >> orth_ea centre) lags(1) endog(inn) vce(robust) artests(2) > >Arellano-Bond dynamic panel-data estimation Number of obs = 15546 >Group variable: codice_i Number of groups = 2591 >Time variable: time > Obs per group: min = 6 > avg = 6 > max = 6 > >Number of instruments = 44 Wald chi2(11) = 2917.92 > Prob > chi2 = 0.0000 >One-step results >- ------------------------------------------------------------------------------ > | Robust > ros | Coef. Std. Err. z P>|z| [95% Conf. Interval] >- -------------+---------------------------------------------------------------- > ros | > L1. | .3233811 .0198598 16.28 0.000 .2844566 .3623056 > inn | .2425445 .1280361 1.89 0.058 -.0084016 .4934906 > q_immmat | .0023804 .0013162 1.81 0.071 -.0001994 .0049602 > leverage | .0000875 .0001947 0.45 0.653 -.000294 .000469 > vafat | .6048328 .0210364 28.75 0.000 .5636022 .6460633 > offat | -.6008628 .0672536 -8.93 0.000 -.7326773 -.4690482 > innset | .0411136 .0078649 5.23 0.000 .0256986 .0565286 > add | -.0017756 .0007399 -2.40 0.016 -.0032257 -.0003254 > coslva | -.7031861 .3948626 -1.78 0.075 -1.477103 .0707304 > d1998 | .6747555 .0723119 9.33 0.000 .5330267 .8164843 > d2003 | -1.008683 .0886336 -11.38 0.000 -1.182402 -.8349642 > _cons | -12.10147 .8268329 -14.64 0.000 -13.72203 -10.4809 >- ------------------------------------------------------------------------------ >Instruments for differenced equation > GMM-type: L(2/.).ros L(2/.).inn > Standard: D.q_immmat D.leverage D.vafat D.offat D.innset D.add D.coslva D.d1998 > D.d2003 north_we north_ea centre >Instruments for level equation > Standard: _cons > >.. estat sargan >Sargan test of overidentifying restrictions > H0: overidentifying restrictions are valid > > chi2(32) = 109.316 > Prob > chi2 = 0.0000 > >. estat abond > >Arellano-Bond test for zero autocorrelation in first-differenced errors > +-----------------------+ > |Order | z Prob > z| > |------+----------------| > | 1 |-16.228 0.0000 | > | 2 |-.66241 0.5077 | > +-----------------------+ > H0: no autocorrelation - > > > >Should I conclude that the Sargan test clearly does not reject the hypothesis that the sets of additional instruments used in the GMM specification are invalid? >Is there someone who could help me in the correct interpretation and,if my interpretation is correct, in finding a better specification of the model? >thank you >Eleonora Bartoloni * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ |
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