Nice exhibit of your intellectual level. Over and out.
You started calling confused folks here morons, and now you seem to be upset at them calling you back, even appealing to their intellectual level? Lol.
This thread is too much fun. I am going to get some popcorn.
Looks like Lihua Lei and Wooldridge finally produced a paper. It covers some old ground but unifies and extends some of the known results.
https://twitter.com/CavaliereGiu/status/1610194841064947712
The main point was covered on Twitter early in 2022: there are no nonlinear, unbiased estimators in the original setting that Hansen covered.
Lihua Lei's proof involves the argument that the symmetric positive def nxn matrices span all of nxn Euclidean space. Why would this be the case? Linear combinations of symmetric matrices are symmetric after all?
Have not read the paper yet, but what had been on Twitter was speculation and no proof.
Lihua Lei's proof involves the argument that the symmetric positive def nxn matrices span all of nxn Euclidean space. Why would this be the case? Linear combinations of symmetric matrices are symmetric after all?Have not read the paper yet, but what had been on Twitter was speculation and no proof.
Then read the paper instead of writing useless comments on EJMR.
Lihua Lei's proof involves the argument that the symmetric positive def nxn matrices span all of nxn Euclidean space. Why would this be the case? Linear combinations of symmetric matrices are symmetric after all?Have not read the paper yet, but what had been on Twitter was speculation and no proof.
Then read the paper instead of writing useless comments on EJMR.
Why would that comment be useless? Has nothing to do with the paper, but with the Twitter claims...