Hi,
Does anyone knows, conceptually, why nocons affects margins calculations?
thanks.
Does anyone knows, conceptually, why nocons affects margins calculations?
Code:
. webuse auto, clear (1978 automobile data) . reg price mpg i.foreign,nocons Source | SS df MS Number of obs = 74 -------------+---------------------------------- F(2, 72) = 73.73 Model | 2.3167e+09 2 1.1583e+09 Prob > F = 0.0000 Residual | 1.1311e+09 72 15710259.5 R-squared = 0.6719 -------------+---------------------------------- Adj R-squared = 0.6628 Total | 3.4478e+09 74 46592355.7 Root MSE = 3963.6 ------------------------------------------------------------------------------ price | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- mpg | 251.1707 26.42008 9.51 0.000 198.5032 303.8382 | foreign | Foreign | 162.4989 1068.864 0.15 0.880 -1968.242 2293.24 ------------------------------------------------------------------------------ . margins ,at(mpg=(5500(250)6751)) atmeans Adjusted predictions Number of obs = 74 Model VCE: OLS Expression: Linear prediction, predict() ... 6._at: mpg = 6750 0.foreign = .7027027 (mean) 1.foreign = .2972973 (mean) ------------------------------------------------------------------------------ | Delta-method | Margin std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- _at | 1 | . (not estimable) 2 | . (not estimable) 3 | . (not estimable) 4 | . (not estimable) 5 | . (not estimable) 6 | . (not estimable) ------------------------------------------------------------------------------ . reg price mpg i.foreign Source | SS df MS Number of obs = 74 -------------+---------------------------------- F(2, 71) = 14.07 Model | 180261702 2 90130850.8 Prob > F = 0.0000 Residual | 454803695 71 6405685.84 R-squared = 0.2838 -------------+---------------------------------- Adj R-squared = 0.2637 Total | 635065396 73 8699525.97 Root MSE = 2530.9 ------------------------------------------------------------------------------ price | Coefficient Std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- mpg | -294.1955 55.69172 -5.28 0.000 -405.2417 -183.1494 | foreign | Foreign | 1767.292 700.158 2.52 0.014 371.2169 3163.368 _cons | 11905.42 1158.634 10.28 0.000 9595.164 14215.67 ------------------------------------------------------------------------------ . margins ,at(mpg=(5500(250)6751)) atmeans Adjusted predictions Number of obs = 74 Model VCE: OLS Expression: Linear prediction, predict() ... 6._at: mpg = 6750 0.foreign = .7027027 (mean) 1.foreign = .2972973 (mean) ------------------------------------------------------------------------------ | Delta-method | Margin std. err. t P>|t| [95% conf. interval] -------------+---------------------------------------------------------------- _at | 1 | -1605645 305118.5 -5.26 0.000 -2214034 -997255.6 2 | -1679193 319041.4 -5.26 0.000 -2315344 -1043043 3 | -1752742 332964.4 -5.26 0.000 -2416654 -1088830 4 | -1826291 346887.3 -5.26 0.000 -2517965 -1134618 5 | -1899840 360810.2 -5.27 0.000 -2619275 -1180405 6 | -1973389 374733.1 -5.27 0.000 -2720586 -1226192 ------------------------------------------------------------------------------
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