Week 2 Flashcards

1
Q

What is LIE?

A
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2
Q

What are the 3 assumptions of OLS?

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3
Q

What is the first assumption?

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4
Q

What are the 2 implications of the 1st assumption?

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5
Q

When is X endogenous and when exogenous?

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6
Q

What does covariance of 0 imply and what does it not imply?

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7
Q

What happens when assumption is not satisfied?

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8
Q

What is the second assumption?

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9
Q

What is the 3rd assumption?

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10
Q

What are the 2 roles of the LS assumptions?

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11
Q

What is the sampling distribution of OLS estimator?

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12
Q

Why are beta0 and beta1 random variables/

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13
Q

What is the implicatoion of random variables>

A
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14
Q

What does it mean when the sample size is small?

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15
Q

What is good/bad news when the sample size is small?

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16
Q

What is the good/bad news when the sample size is large?

A
17
Q

What is the proof LIE?

A
18
Q

proof that beta1 is unbiased?

A
19
Q

Show that assumption 1 implies E(ui)=0

A
20
Q

Show that assumption 1 implies Cov(Xi, ui)=0

A
21
Q

Show that TSS = ESS + SSR

A
22
Q

Show that the sample mean Y^ - is the same as Y^(-^)

A
23
Q

Show that beta0 is unbiased estimator

A