使用Stata分析分类变量

Question

我有一个超过300名议员的数据集，他们问了2887个问题。我将问题的性质分为地方，国家或两者。现在我想用总问题作为因变量对它们进行回归。我的虚拟变量是本地和国家。但是当我对它们进行回归时，它给出了2887个观测值，但我的总数为307.我怎么能用307的观测值对它们进行回归？谁能帮助我做到这一点？我正在使用负二项回归模型。

Here is my data's sample section:

ID   QuesCategory       QuesFocus

28  Standard Question   Local
28  Standard Question   Regional/Divisional
28  Standard Question   Combination
28  Standard Question   Combination
28  Standard Question   Combination
29  Standard Question   Regional/Divisional
29  Standard Question   Combination
29  Standard Question   Regional/Divisional
29  Standard Question   Regional/Divisional
29  Standard Question   Regional/Divisional
30  Standard Question   Local
36  Standard Question   Local
36  Standard Question   National
36  Helpful Question    National
36  Standard Question   Combination
36  Standard Question   Local
40  Standard Question   National
40  Standard Question   Combination
40  Standard Question   Combination
40  Standard Question   Regional/Divisional
40  Standard Question   Combination
40  Standard Question   Regional/Divisional

我有另一个文件，其中包含个人ID及其个人信息所提出的问题总数，如下所示：

ID TotalQues Region Gender
28  15       Rangpur    Male
29  5        Rangpur    Male
30  1        Rangpur    Male
36  5        Rajshahi   Male
40  26      Rajshahi    Male
42  17  Rajshahi    Male
49  13  Rajshahi    Male
53  7   Rajshahi    Male
66  18  Rajshahi    Male
71  21  Rajshahi    Male
72  17  Rajshahi    Male
74  4   Khulna  Male
75  9   Khulna  Male
76  26  Khulna  Male
77  23  Khulna  Male
78  19  Khulna  Male

我想以当地的焦点回归总问题，但我不知道我能做些什么。我是否将按ID分配的本地焦点问题合并到总问题文件中。如果我这样做，问题仍然存在，它会给出正确的回归，因为ID（成员）的本地问题的份额几乎是一半，如果不是，我应该如何关联它。

根据您的信息，总ID为357，但总问题为2887.