Maurice Tutor

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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 06 Jan 2018 My Price 9.00

functional form

  1. The point of this exercise is to show that tests for functional form cannot be relied on as a general test for omitted variables. Suppose that, conditional on the explanatory variables x 1 and x 2 , a linear model relating y to x 1 and x 2 satisfies the Gauss-Markov assumptions:
  2. y 5 b 0 1 b 1 x 1 1 b 2 x 2 1 u

E( u | x 1 , x 2 ) 5 0 Var( u | x 1 , x 2 ) 5 s 2 .

To make the question interesting, assume b 2 ? 0.

Suppose further that x 2 has a simple linear relationship with x 1 :

    1. Show that

x 2 5 ? 0 1 ? 1 x 1 1 r

E( r | x 1 ) 5 0 Var( r | x 1 )5 ? 2

E( y | x 1 ) 5 ( b 0 1 b 2 ? 0 ) 1 ( b 1 1 b 2 ? 1 ) x 1 .

Under random sampling, what is the probability limit of the OLS estimator from the sim- ple regression of y on x 1 ? Is the simple regression estimator generally consistent for b 1 ?

    1. If you run the regression of y on x 1 , x 2 , what will be the probability limit of the OLS estimator of the coefficient on x 2 ? Explain.

      1

      1

    2. Using substitution, show that we can write

y 5 ( b 0 1 b 2 ? 0 ) 1 ( b 1 1 b 2 ? 1 ) x 1 1 u 1 b 2 r

It can be shown that, if we define v 5 u 1 b 2 r then E( v | x 1 ) 5 0, Var( v | x 1 ) 5 s 2 1 b 2 ? 2 . What consequences does this have for the t statistic on x 2 from the regression in

2

1

part (ii)?

    1. What do you conclude about adding a nonlinear function of x 1 —in particular,

1 —in an attempt to detect omission of x 2 ?

x 2

 

Answers

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Status NEW Posted 06 Jan 2018 04:01 PM My Price 9.00

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