Problem 2. (SW 11.8(a-c)) Consider the linear probability model Y₁ = Bo+B₁X₁+u₁, and assume that E(u₂|X;) = 0. (a) Show that Pr(Y₁ = 1|X;) = Bo + B₁X₁. (b) Show that var(u₁|X₁) = (B₁ + B₁X₁)[1 − (B₁ + B₁X₁)]. [Hint: You will need the formula for the variance of a Bernoulli variable, see, e.g., SW Equation (2.7).] (c) Is u heteroskedastic? Explain.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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Problem 2. (SW 11.8(a-c)) Consider the linear probability model Y₁ = Bo + B₁X₁ + U₁, and assume
that E(u₂|X) = 0.
(a) Show that Pr(Y; = 1|X₂) = Bo + B₁X₁.
(b) Show that var(u₁|X;) = (B₁ + B₁X;)[1 − (B₁+ B₁X;)]. [Hint: You will need the formula for the
variance of a Bernoulli variable, see, e.g., SW Equation (2.7).]
(c) Is u heteroskedastic? Explain.
Transcribed Image Text:Problem 2. (SW 11.8(a-c)) Consider the linear probability model Y₁ = Bo + B₁X₁ + U₁, and assume that E(u₂|X) = 0. (a) Show that Pr(Y; = 1|X₂) = Bo + B₁X₁. (b) Show that var(u₁|X;) = (B₁ + B₁X;)[1 − (B₁+ B₁X;)]. [Hint: You will need the formula for the variance of a Bernoulli variable, see, e.g., SW Equation (2.7).] (c) Is u heteroskedastic? Explain.
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