求翻译：这里，模型的估计是同时进行、一步完成的，类似于工具变量法估计。但是，我们用treat effect 模型而不选取常用的工具变量法，来检验二分内生变量是否内生于家庭背景变量，主要出于以下几点考虑：第一，二者对内生变量做出的假设不同。工具变量回归中，工具变量是线性相关于一个连续的、完全可观测内生变量，而treat effect 模型回归，工具变量相关于一个隐匿的、不可观测内生变量，如果变量满足条件，二分内生变量就被观测为1，反之为0。treat effect 模型更符合本文变量的实际情况和预期要求；是什么意思？

Here, the model estimated at the same time step, similar to the instrumental variable method to estimate. However, we treat effect model rather than select a commonly used instrumental variable method to test whether the two since the beginning of endogenous variables within Born family background v

Here, the model of the same time, it is estimated that one step further, similar to the variable is. However, we treat the effect models and not pick the tools commonly used to verify that variables in the variable 2 is born family background variables, on the following considerations: first, 2 for