1. The Sargan test of overidentifying restrictions, used to examine the overall validity of the instruments by comparing the moment conditions with their sample analogue.It is a good news when p-value is large (better not close to 1) - means Sargan test can not be rejested and therefore instruments are valid.But you have pvalue=1, which implies that something is going wrong in your regression.

2/3.The first-order/second-order serial correlation tests, which test the null hypothesis of no first-order serial correlation and no second-order serial correlation in the residuals in the first-differenced equation. Therefore it is a good news if you get small p-value (to rejest the null) for 1st serial correlation test, but large p-value for 2nd serial correlation test. You have large p-value (0.5382) for 1st serial correlation test, obviously this is wrong. You could consider including more lags, then the problem can be solved. Hope these help!

如何消除sargan检验中 p value=1?