路过，路过。帮你围观下，我也算是学习了。

看了下你结果数据，是显示一个因变量和四个自变量，至于为什么没显示变量名，会不会因为你命名或复制时错了，把变量名都变为“|”
参数的意思，我也不是很确定，刚查了下，找到如下一些文字，好像能说明参数的意思，但我不确定是否对错哦！我将其复制在下面，出处我也附上。若找到文献原件，希望分享哦！谢谢啦！
Consider a parameterization in which a constant is present, e.g., Greene’s formulation (Greene 2003, 736):

    Pr(Y = 0) = F(−Xb)
    Pr(Y = 1) = F(u1 −Xb) − F(−Xb)
    Pr(Y = 2) = F(u2 −Xb) − F(u1 −Xb)
    ...

In the preceding, F is the cumulative distribution function (CDF), either the cumulative standard normal distribution for ordered probit regression or the cumulative logistic distribution for ordered logistic regression. Since Greene includes a constant in his Xb, we need to indicate this to make his notation and Stata’s ordered probit/logistic notation comparable:

    Pr(Y = 0) = F(−Xb − con)
    Pr(Y = 1) = F(u1 − Xb − con) − F(−Xb − con)
    Pr(Y = 1) = F(u2 − Xb − con) − F(u1 −Xb − con)
    ...

Now, compare this with Stata’s no-constant model:

    Pr(Y = 0) = F(/cut1 − Xb)
    Pr(Y = 1) = F(/cut2 − Xb) − F(/cut1 − Xb)
    Pr(Y = 2) = F(/cut3 − Xb) − F(/cut2 − Xb)
    ...

Examining the expressions for Pr(Y = 0), we see that

    −Xb − con = /cut1 − Xb

so Greene’s constant equals –/cut1. Greene set the first cut point to zero, whereas Stata set the constant to zero.

Combining this observation with the expressions for Pr(Y = 1), we see that Greene’s u1 = /cut2 + con = /cut2 − /cut1. Doing the same for Pr(Y = 2), we see that u2 = /cut3 − /cut1. Thus to estimate Greene’s model using the coefficient estimates from Stata’s ordered probit/logistic regression commands we can use the following:

    Greene's intercept = −/cut1
    Greene's u1 = /cut2 − /cut1
    Greene's u2 = /cut3 − /cut1
    ...

After you fit your model using Stata, you can convert to Greene’s parameterization using lincom, which will provide both the coefficient estimate and the standard error as follows:

    ologit/oprobit ...
    lincom _b[/cut2] - _b[/cut1]
    lincom _b[/cut3] - _b[/cut1]
    ...

Greene, W. H. 2003. Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall.

你需要把你的变量名都列出来，看了才好给你解释 可以截个图来看看

有序回归模型！

刚遇到这一问题，看过这一课件就明白了，希望能够帮到你，谢谢！课件链接：http://wenku.baidu.com/link?url=BcdcHns29Q1Eq3ARs_EVnpfpaWbCsQnfn4zvKIsB-fD2jgg99-ufr2yeU267QIn2R81llrVowCifAQm6HN6DT2A3W7VmiPCstqzNkfB3PMO