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Statistics 线性方程组中的非线性约束_Statistics_Regression_Stata_Estimation - Fatal编程技术网

Statistics 线性方程组中的非线性约束

Statistics 线性方程组中的非线性约束,statistics,regression,stata,estimation,Statistics,Regression,Stata,Estimation,我正试图通过Windows的Stata 14中的sureg命令来估计夫妻间同时劳动力供应的系统(女性称为eq1,男性称为eq2) 当我尝试添加线性约束时,回归就起作用了。然而,我需要对四个系数施加一个非线性约束,但一旦我添加了这个,我就会得到以下错误消息: 约束导致了一个错误 您可以在下面找到一个可复制的示例: sysuse auto.dta constraint 1 [Eq1]mpg*[Eq2]headroom = [Eq1]headroom*[Eq2]length sureg (Eq1:

我正试图通过Windows的Stata 14中的
sureg
命令来估计夫妻间同时劳动力供应的系统(女性称为
eq1
,男性称为
eq2

当我尝试添加线性约束时,回归就起作用了。然而,我需要对四个系数施加一个非线性约束,但一旦我添加了这个,我就会得到以下错误消息:

约束导致了一个错误

您可以在下面找到一个可复制的示例:

sysuse auto.dta

constraint 1 [Eq1]mpg*[Eq2]headroom = [Eq1]headroom*[Eq2]length

sureg (Eq1: price = mpg trunk weight rep78 headroom) ///
      (Eq2 : price = headroom length), /// 
      corr constraint(1)

(note: constraint number 1 caused error r(131))
(note: constraint number 1 caused error r(131))

Seemingly unrelated regression
--------------------------------------------------------------------------
Equation             Obs   Parms        RMSE    "R-sq"       chi2        P
--------------------------------------------------------------------------
Eq1                   69       5    2392.918    0.3150      29.32   0.0000
Eq2                   69       2    2581.831    0.2026      18.01   0.0001
--------------------------------------------------------------------------

------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
Eq1          |
         mpg |  -26.58347   29.65312    -0.90   0.370    -84.70252    31.53558
       trunk |   31.52432   38.05785     0.83   0.407    -43.06769    106.1163
      weight |   1.363126   .3241408     4.21   0.000     .7278219     1.99843
       rep78 |    171.411   113.7883     1.51   0.132    -51.60992     394.432
    headroom |  -377.2506   360.8804    -1.05   0.296    -1084.563     330.062
       _cons |   2687.868   1603.852     1.68   0.094    -455.6242    5831.361
-------------+----------------------------------------------------------------
Eq2          |
    headroom |  -325.9389   402.3103    -0.81   0.418    -1114.453    462.5749
      length |   50.51478   12.27884     4.11   0.000      26.4487    74.58087
       _cons |  -2387.561   2125.435    -1.12   0.261    -6553.338    1778.215
------------------------------------------------------------------------------

Correlation matrix of residuals:

        Eq1     Eq2
Eq1  1.0000
Eq2  0.9292  1.0000

Breusch-Pagan test of independence: chi2(1) =    59.574, Pr = 0.0000

当使用我的真实数据时,我会得到同样的错误。这使得在
sureg
估计中不可能实现非线性约束,我确实需要在我的模型中施加非线性约束。

您可以将非线性约束重新转换为两个线性约束,并在
sureg
中包括这两个约束:

sysuse auto.dta, clear

constraint 1 [Eq1]mpg = [Eq1]headroom
constraint 2 [Eq2]headroom = [Eq2]length

sureg (Eq1: price = mpg trunk weight rep78 headroom) (Eq2: price = headroom length), ///
      corr constraint(1 2)
然后,您可以测试约束是否满足,如下所示:

assert _b[Eq1:mpg] * _b[Eq2:headroom] == _b[Eq1:headroom] * _b[Eq2:length]