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Econ 551b Econometrics II
Problem Set 2

Prof. John Rust

Due: February 17, 1999

Question 1

Let tex2html_wrap_inline77 where Y is tex2html_wrap_inline81 random vector and tex2html_wrap_inline83 is tex2html_wrap_inline85 positive definite matrix. Prove tex2html_wrap_inline87 . (Hint: Apply Jordan Decomposition on tex2html_wrap_inline83 .)

Question 2

The Legendre Polynomials, denoted by tex2html_wrap_inline91 , tex2html_wrap_inline93 , tex2html_wrap_inline95 ,..., can be obtained by finding the set of orthogonal vectors that span the same subspace in tex2html_wrap_inline97 as 1, x, tex2html_wrap_inline103 , tex2html_wrap_inline105 ,... Using the Gram-Schmidt Orthogonalization Process, find the first four Legendre Polynomials. Then normalize the Legendre Polynomials so that they are orthonormal.

Question 3

Let tex2html_wrap_inline107 be the OLS estimate in the regression:

displaymath71

And tex2html_wrap_inline109 be the estimate from stepwise regression. That is, first obtain tex2html_wrap_inline111 as the OLS estimate from the regression:

displaymath72

Then obtain tex2html_wrap_inline113 as the OLS estimate from the following regression:

displaymath73

Where tex2html_wrap_inline115 and tex2html_wrap_inline117 are projections of y and tex2html_wrap_inline121 on tex2html_wrap_inline123 respectively, i.e., they are the predicted values in the regression of y and tex2html_wrap_inline121 on tex2html_wrap_inline123 respectively. Show that tex2html_wrap_inline131 and tex2html_wrap_inline133 are identical. Suggest when stepwise regression can be useful.

Question 4

Suppose tex2html_wrap_inline135 , show that tex2html_wrap_inline137 , where tex2html_wrap_inline139 .





econ551
Wed Feb 10 16:49:26 EST 1999