Maurice Tutor

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About Maurice Tutor

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Expertise:
Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 408 Weeks Ago, 6 Days Ago
Questions Answered: 66690
Tutorials Posted: 66688

Education

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

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 06 Jan 2018 My Price 6.00

binary variable

Consider the linear probability model: yi = Xi + ui , i = 1; :::; n where yi is the binary variable equal 1 or 0; Xi is the vector of observed explanatory variables; and ui is a zero-mean error term such that E(uiuj jXi ; Xj ) = 0; for i 6= j: (a) (15 points) What is the P(yi = 1jXi)? Derive the conditional distribution of ui jXi . Show that it has mean 0 and Önd its variance. (b) (15 points) Show that the OLS estimator of is unbiased and Önd its variance. (c) (10 points) Is the OLS estimator the BLUE of ? If not, give the expression for the BLUE estimator of : (d) (5 points) Discuss the drawbacks/problems of the linear probability model. 4 (e) (15 points) What alternative models/speciÖcations could one use to avoid the problems associated with the linear probability model? Write down the optimization problem that needs to be solved to estimate those alternative models.

Answers

Maurice Tutor
(5)
Status NEW Posted 06 Jan 2018 04:01 PM My Price 6.00

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