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Jan 14, 2023 at 14:33 comment added Alecos Papadopoulos @statmerkur Indeed, but it is needed in order for the reader to understand that invertibility of these two matrices goes together, so if we have a "regular" linear regression least-squares estimation, FWL is also available without further worries.
Jan 13, 2023 at 8:49 comment added statmerkur +1 Though, I think there is no need to state that "and so $X′X$ is not invertible to begin with." since this was not used anywhere else in your proof.
Jan 11, 2023 at 2:32 comment added Alecos Papadopoulos @statmerkur Thanks for the suggestion, I elaborated on it.
Jan 11, 2023 at 2:31 history edited Alecos Papadopoulos CC BY-SA 4.0
Small correction responding to a comment
Jan 10, 2023 at 10:46 comment added statmerkur I think it should be "But in order to do so, this column vector must be in the column space of $X_1$" instead of "But in order to do so, this column vector must be inlcuded in the regressors used to form $P_1$".
Mar 24, 2017 at 18:22 comment added whuber +1 I believe you, because this theorem is an immediate consequence of an easily proven generalization to arbitrary partitions of the set of explanatory variables. (I describe this generalization geometrically at stats.stackexchange.com/a/113207/919 and algebraically, in terms that look similar to yours, at stats.stackexchange.com/a/46508/919.)
Mar 24, 2017 at 17:14 history answered Alecos Papadopoulos CC BY-SA 3.0