Am 20.05.2013 11:56, schrieb Sven Schreiber: > Am 20.05.2013 11:52, schrieb Pindar: > >> Hola Rodrigo, >> >> The p-value for Hansen test is reported as " 0.218". >> But with the output in the paper and gretl there are 3 different test >> statistics for chi2(100): >> >> Sargan_xtabond2: 186.90 >> Sargan_gretl: 154.81 >> Hansen_xtabond2: 110.70 >> >> I would like to be sure how to interpret differences in the diagnostic >> checks between gretl and stata. >> > Yes, a useful question I think. But are the coeff estimates always the > same, are you absolutely sure you are comparing identical > specificiations? In panel settings and GMM settings there can be subtle > differences.
Thanks Sven for pointing me to the 'always': The coefficients for the const and the time dummies differ! Trying to change the setting for the time dummies leads to 'completely different' coefficients while it does not alter the Sargan test statistic. I obviously failed in replicating the time dummy instruments: <hansl> open abdata.gdt genr time genr timedum list TD_roodman = dt_2 dt_3 dt_4 dt_5 dt_6 dt_7 dt_8 dpanel 1; n const w w(-1) k k(-1) TD_roodman ; \ GMM(n,2,8) GMM(w,2,8) GMM(k,2,8) \ GMMlevel(w,1,1) GMMlevel(k,1,1) TD_roodman --sys # This estimation gives a 'Sargan test' # Sargan over-identification test: Chi-square(100) = 154.367 [0.0004] <hansl> Best Leon Here the Roodman stata output of coefficients: > cheers, > sven > _______________________________________________ > Gretl-users mailing list > Gretl-users(a)lists.wfu.edu > http://lists.wfu.edu/mailman/listinfo/gretl-users
Am 20.05.2013 11:56, schrieb Sven Schreiber:Am 20.05.2013 11:52, schrieb Pindar:Hola Rodrigo, The p-value for Hansen test is reported as " 0.218". But with the output in the paper and gretl there are 3 different test statistics for chi2(100): Sargan_xtabond2: 186.90 Sargan_gretl: 154.81 Hansen_xtabond2: 110.70 I would like to be sure how to interpret differences in the diagnostic checks between gretl and stata.Yes, a useful question I think. But are the coeff estimates always the same, are you absolutely sure you are comparing identical specificiations? In panel settings and GMM settings there can be subtle differences. Thanks Sven for pointing me to the 'always': The coefficients for the const and the time dummies differ! Trying to change the setting for the time dummies leads to 'completely different' coefficients while it does not alter the Sargan test statistic. I obviously failed in replicating the time dummy instruments: <hansl> open abdata.gdt genr time genr timedum list TD_roodman = dt_2 dt_3 dt_4 dt_5 dt_6 dt_7 dt_8 dpanel 1; n const w w(-1) k k(-1) TD_roodman ; \ GMM(n,2,8) GMM(w,2,8) GMM(k,2,8) \ GMMlevel(w,1,1) GMMlevel(k,1,1) TD_roodman --sys # This estimation gives a 'Sargan test' # Sargan over-identification test: Chi-square(100) = 154.367 [0.0004] <hansl> Best Leon Here the Roodman stata output of coefficients: cheers, sven _______________________________________________ Gretl-users mailing list [email protected] http://lists.wfu.edu/mailman/listinfo/gretl-users |
