I use Stata16 and I humbly seek help. I have 2 cases where the parabolic curves are inverting WRONGLY. I did everything right (or so I think).
**First Case: I should have an INVERTED U-shaped curve. But the curve keeps showing an upward trend.
Please see the code I executed and the output.
Code:
twoway qfit lnco2 enu xtpcse lnco2 enu enusq lnpc popgr renew rq, rhotype(freg) np1 di -_b[enu]/(2 * _b[enusq]) local tp = -_b[enu]/(2 * _b[enusq]) twoway qfit lnco2 enu, xli(`tp')
Code:
. twoway qfit lnco2 enu . xtpcse lnco2 enu enusq lnpc popgr renew rq, rhotype(freg) np1 (note: the number of observations per panel, e(n_sigma) = 4, used to compute the disturbance of covariance matrix e(Sigma) is less than half of the average number of observations per panel, e(n_avg) = 14.714286; you may want to consider the pairwise option) Linear regression, correlated panels corrected standard errors (PCSEs) Group variable: c_id Number of obs = 103 Time variable: year Number of groups = 7 Panels: correlated (unbalanced) Obs per group: Autocorrelation: no autocorrelation min = 4 Sigma computed by casewise selection avg = 14.714286 max = 19 Estimated covariances = 28 R-squared = 0.8832 Estimated autocorrelations = 0 Wald chi2(6) = 3176.03 Estimated coefficients = 7 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ | Panel-corrected lnco2 | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- enu | .0083711 .0007237 11.57 0.000 .0069527 .0097895 enusq | -8.44e-06 1.11e-06 -7.60 0.000 -.0000106 -6.26e-06 lnpc | .5700028 .1329954 4.29 0.000 .3093366 .830669 popgr | .1243389 .0564481 2.20 0.028 .0137027 .234975 renew | -.0256073 .0027666 -9.26 0.000 -.0310297 -.0201848 rq | -.4014216 .1457195 -2.75 0.006 -.6870265 -.1158167 _cons | -5.346004 1.147205 -4.66 0.000 -7.594484 -3.097524 ------------------------------------------------------------------------------ . di -_b[enu]/(2 * _b[enusq]) 496.0271 . local tp = -_b[enu]/(2 * _b[enusq]) . twoway qfit lnco2 enu, xli(`tp')
Please see the code I used:
Code:
twoway qfit lnco2 kofgi xtpcse lnco2 lnpc popgr renew rq kofgi kofgi2, rhotype(freg) np1 di -_b[kofgi]/(2 * _b[kofgi2]) local tp = -_b[kofgi/(2 * _b[kofgi2]) twoway qfit lnco2 kofgi, xli(`tp')
Code:
. twoway qfit lnco2 kofgi . xtpcse lnco2 lnpc popgr renew rq kofgi kofgi2, rhotype(freg) np1 Linear regression, correlated panels corrected standard errors (PCSEs) Group variable: c_id Number of obs = 140 Time variable: year Number of groups = 7 Panels: correlated (balanced) Obs per group: Autocorrelation: no autocorrelation min = 20 avg = 20 max = 20 Estimated covariances = 28 R-squared = 0.7736 Estimated autocorrelations = 0 Wald chi2(6) = 1891.41 Estimated coefficients = 7 Prob > chi2 = 0.0000 ------------------------------------------------------------------------------ | Panel-corrected lnco2 | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- lnpc | .6572758 .0212834 30.88 0.000 .615561 .6989906 popgr | .2181154 .0488538 4.46 0.000 .1223638 .313867 renew | -.006806 .0013833 -4.92 0.000 -.0095171 -.0040948 rq | -.2882291 .0664838 -4.34 0.000 -.4185349 -.1579234 kofgi | -.116146 .0327807 -3.54 0.000 -.180395 -.051897 kofgi2 | .0014956 .000385 3.88 0.000 .000741 .0022503 _cons | -3.270156 .6360434 -5.14 0.000 -4.516778 -2.023533 ------------------------------------------------------------------------------ . di -_b[kofgi]/(2 * _b[kofgi2]) 38.827971 . local tp = -_b[kofgi]/(2 * _b[kofgi2]) . twoway qfit lnco2 kofgi, xli(`tp')
I will appreciate every assistance.
Thanks in advance.
Ngozi
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