Hello.
I want to do spatial panel econometric analysis. I'm using gravity model. In the gravitational model as the dependent variable, I used the population, GDP and distance as export explanatory variable. Other than that, I used 3 dummy variables. common border, common language and common belief.
https://www.youtube.com/watch?v=54HoO0KgWLQ I got help from here for codes.
But i face omitted variable. what am i do for this problem?
I want to do spatial panel econometric analysis. I'm using gravity model. In the gravitational model as the dependent variable, I used the population, GDP and distance as export explanatory variable. Other than that, I used 3 dummy variables. common border, common language and common belief.
https://www.youtube.com/watch?v=54HoO0KgWLQ I got help from here for codes.
But i face omitted variable. what am i do for this problem?
Code:
SDM with spatial fixed-effects Number of obs = 180 Group variable: country Number of groups = 10 Time variable: year Panel length = 18 R-sq: within = 0.9312 between = 0.0494 overall = 0.0039 Mean of fixed-effects = 42.3142 Log-pseudolikelihood = 191.9219 (Std. Err. adjusted for 10 clusters in country) ------------------------------------------------------------------------------ | Robust v3 | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Main | v4 | .346386 .1667466 2.08 0.038 .0195686 .6732034 v5 | .080305 .0925599 0.87 0.386 -.101109 .261719 v6 | -2.333392 1.205793 -1.94 0.053 -4.696702 .0299184 v7 | -.1181973 1.267534 -0.09 0.926 -2.602519 2.366124 v8 | 0 (omitted) v9 | 0 (omitted) v1 | 0 (omitted) v2 | 0 (omitted) -------------+---------------------------------------------------------------- Wx | v4 | .6347884 .1356332 4.68 0.000 .3689522 .9006246 v5 | .0381044 . . . . . v6 | -3.933378 2.745495 -1.43 0.152 -9.314448 1.447693 v7 | -.416318 . . . . . v8 | 0 (omitted) v9 | 0 (omitted) v1 | 0 (omitted) v2 | 0 (omitted) -------------+---------------------------------------------------------------- Spatial | rho | .0984262 .1106344 0.89 0.374 -.1184133 .3152656 -------------+---------------------------------------------------------------- Variance | sigma2_e | .0069144 .0014999 4.61 0.000 .0039746 .0098541 ------------------------------------------------------------------------------ . //SDM with spatial fixed-effects [data transformed according to Lee and Yu (20 > 10)] . xsmle v3 v4 v5 v6 v7 v8 v9 v1 v2, wmat(W) model(sdm) fe type(ind, leeyu) vce(c > luster country) nolog Warning: All regressors will be spatially lagged convergence not achieved SDM with spatial fixed-effects Number of obs = 170 Group variable: country Number of groups = 10 Time variable: year Panel length = 17 R-sq: within = 0.9312 between = 0.0494 overall = 0.0039 Mean of fixed-effects = 42.3141 Log-pseudolikelihood = 176.4011 (Std. Err. adjusted for 10 clusters in country) ------------------------------------------------------------------------------ | Robust v3 | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Main | v4 | .3463859 .1667467 2.08 0.038 .0195683 .6732034 v5 | .0803051 .0925598 0.87 0.386 -.1011088 .2617189 v6 | -2.333389 1.205793 -1.94 0.053 -4.6967 .0299216 v7 | -.4163177 1.267534 -0.33 0.743 -2.90064 2.068004 v8 | 0 (omitted) v9 | 0 (omitted) v1 | 0 (omitted) v2 | 0 (omitted) -------------+---------------------------------------------------------------- Wx | v4 | .6347874 .1356332 4.68 0.000 .3689513 .9006236 v5 | .0381044 . . . . . v6 | -3.933371 2.745496 -1.43 0.152 -9.314444 1.447701 v7 | -.118197 . . . . . v8 | 0 (omitted) v9 | 0 (omitted) v1 | 0 (omitted) v2 | 0 (omitted) -------------+---------------------------------------------------------------- Spatial | rho | .0984269 .1106344 0.89 0.374 -.1184125 .3152662 -------------+---------------------------------------------------------------- Variance | sigma2_e | .0073211 .0015881 4.61 0.000 .0042084 .0104338 ------------------------------------------------------------------------------ . estat ic Akaike's information criterion and Bayesian information criterion ----------------------------------------------------------------------------- Model | Obs ll(null) ll(model) df AIC BIC -------------+--------------------------------------------------------------- . | 170 . 176.4011 8 -336.8022 -311.7159 ----------------------------------------------------------------------------- Note: N=Obs used in calculating BIC; see [R] BIC note. . //SDM with time fixed-effects . xsmle v3 v4 v5 v6 v7 v8 v9 v1 v2, wmat(W) model(sdm) fe type(time) vce(cluster > country) nolog Warning: All regressors will be spatially lagged
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