求助门限回归命令xtptm的命令详解与结果详解，以及比较好的测试数据
一直没有人帮我解释，我自己设置了一个微型的测试数据在excel中的sheet2里面。

数据共含6个个体，29期的观测值。变量共两个，即自变量x与因变量y。
当x<=26时，y=0.8x+c1；当x>26，y=-0.6x+c2。
我用命令xtptm y,rx(x) thrvar(x) iters(3000) trim(0.05)，得到结果如下：
================ Fundamental information: ===================

Number of Regime independent variables: 0
Number of Regime dependent variables: 1
Number of individuals in panel: 6
Number of periods in panel: 29

================ Ordinary Fixed effect regression: =========

Sum of Squared Residuls: 739.0820
Stardard error of regression: 2.1037
Regression Result(ordinary standard error):
----------------------------------------------------
| Coef Std t Prob
----+-----------------------------------------------
1 | 0.4216 0.0233 18.0876 0.0000
----------------------------------------------------
Regression Result(Robust standard error):
-----------------------------------------------------
| Coef Std_Robust t Prob
----+------------------------------------------------
1 | 0.4216 0.0273 15.4616 0.0000
-----------------------------------------------------

================ Single threshold regession: ===================

Minimized Sum of Squared Residuals:169.4322
Standard error of residuals: 1.0103
Threshold estimator: 29.0000
95% conf. intv. of threshold: 29.0000 29.0000
LR Critical value to test gamma=gamma0: 7.3523
Threshold regression(Ordinary Std. Error):
----------------------------------------------------
| Coef Std t prob
----+-----------------------------------------------
1 | 0.7012 0.0163 43.0440 0.0000
2 | 0.5004 0.0117 42.8418 0.0000
----------------------------------------------------
Threshold regression(Robust Std. Error):
-----------------------------------------------------
| Coef Std_Robust t prob
----+------------------------------------------------
1 | 0.7012 0.0149 47.1453 0.0000
2 | 0.5004 0.0116 43.1624 0.0000
-----------------------------------------------------
Note: Critcal (Inverse CDF of LR stat): -2*ln(1-sqrt(1-alpha))
Ho: No threshold; Ha: Single threshold
Number of bootstrap:3000
F-stat & Prob:558.1105 0.0000
F-critical value of 90% 95% 99%:
1
+---------------+
1 |2.802225033|
2 |3.890695915|
3 |6.932982111|
+---------------+
Thresholds in single model:
29

============== Descrpitive statistic in each regime: ===========

Descriptive statistics of y-X-THR at regime :1
----------------------------------------------------------------
| Mean Std Min Max Count
----+-----------------------------------------------------------
1 | 30.3895 7.6025 14.0369 45.2109 134
2 | 19.8582 5.4458 10.0000 28.0000 134
3 | 19.8582 5.4458 10.0000 28.0000 134
----------------------------------------------------------------
Descriptive statistics of y-X-THR at regime :2
----------------------------------------------------------------
| Mean Std Min Max Count
----+-----------------------------------------------------------
1 | 32.4134 6.4932 21.8680 42.6598 40
2 | 31.5000 1.5359 29.0000 34.0000 40
3 | 31.5000 1.5359 29.0000 34.0000 40
----------------------------------------------------------------
LR and Thresholds series are stored in Stata matrix: LR#
You can observe the scatter plot by: _matplot LR#, columns(1 2)
----------------------------------------------------------------------------------------
我最不能明白的为什么Threshold值是29，不是26或者27。
另外其他的结果我也不太明白，数据在附件中，我的命令和参数的使用，以及测试数据做的有什么不对的地方也请高手指点。

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