Thank you!
Carlo Lazzaro is there a suitable command in Stata to run Ramsey's RESET test after using xtreg, fe/re cluster() ?
Carlo Lazzaro is there a suitable command in Stata to run Ramsey's RESET test after using xtreg, fe/re cluster() ?
sqrtEPS | Coef. | St.Err. | t-value | p-value | [95% Conf | Interval] | Sig | ||||
sqrtSTD | -.717 | .264 | -2.71 | .008 | -1.24 | -.194 | *** | ||||
sqrtLTD | -.709 | .268 | -2.64 | .009 | -1.24 | -.178 | *** | ||||
SIZE | .395 | .08 | 4.96 | 0 | .238 | .553 | *** | ||||
GROWTH | .071 | .116 | 0.62 | .539 | -.158 | .301 | |||||
Constant | -1.49 | .644 | -2.31 | .022 | -2.765 | -.215 | ** | ||||
Mean dependent var | 1.534 | SD dependent var | 0.650 | ||||||||
R-squared | 0.131 | Number of obs | 711 | ||||||||
F-test | 7.057 | Prob > F | 0.000 | ||||||||
Akaike crit. (AIC) | 355.230 | Bayesian crit. (BIC) | 373.497 | ||||||||
*** p<.01, ** p<.05, * p<.1 | |||||||||||
. use "https://www.stata-press.com/data/r16/nlswork.dta" (National Longitudinal Survey. Young Women 14-26 years of age in 1968) . xtreg ln_wage, fe Fixed-effects (within) regression Number of obs = 28,534 Group variable: idcode Number of groups = 4,711 R-sq: Obs per group: within = 0.0000 min = 1 between = 0.0050 avg = 6.1 overall = . max = 15 F(0,23823) = 0.00 corr(u_i, Xb) = . Prob > F = . ------------------------------------------------------------------------------ ln_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- _cons | 1.674907 .0018961 883.35 0.000 1.671191 1.678624 -------------+---------------------------------------------------------------- sigma_u | .42456905 sigma_e | .32028665 rho | .63731204 (fraction of variance due to u_i) ------------------------------------------------------------------------------ F test that all u_i=0: F(4710, 23823) = 8.44 Prob > F = 0.0000 . xtreg ln_wage c.age##c.age, fe Fixed-effects (within) regression Number of obs = 28,510 Group variable: idcode Number of groups = 4,710 R-sq: Obs per group: within = 0.1087 min = 1 between = 0.1006 avg = 6.1 overall = 0.0865 max = 15 F(2,23798) = 1451.88 corr(u_i, Xb) = 0.0440 Prob > F = 0.0000 ------------------------------------------------------------------------------ ln_wage | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- age | .0539076 .0028078 19.20 0.000 .0484041 .0594112 | c.age#c.age | -.0005973 .0000465 -12.84 0.000 -.0006885 -.0005061 | _cons | .639913 .0408906 15.65 0.000 .5597649 .7200611 -------------+---------------------------------------------------------------- sigma_u | .4039153 sigma_e | .30245467 rho | .64073314 (fraction of variance due to u_i) ------------------------------------------------------------------------------ F test that all u_i=0: F(4709, 23798) = 8.74 Prob > F = 0.0000 .
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