Final Flashcards

1
Q

What is cross-sectional Data?

A

Data measured at one point in time. The
variation is the units of observation

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2
Q

What is Time Series Data?

A

One variable that is measured over a period of time.
The variation is time.

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3
Q

What is Pooled Cross-Sectional Data?

A

Combines aspects Cross-Section and
Time Series data. The variation is time and the units of observation.
Note that the same units don’t need to be measured at each point in
time.

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4
Q

What is Panel Data?

A

Combines aspects of Cross-Section and Time Series data.
The variation is time and the units of observation. The same units need
to be measured at each point in time.

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5
Q

In homeworks 1, 2, and 5, we used the housing.xls data set, a
sample of 88 houses in Boston in 1990. What type of data set
is this?
A Panel
B Time Series
C Pooled Cross-Sectional
D Cross-Sectional

A

D Cross-Sectional

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6
Q

Suppose 30% of the women in a class received an A on the test
and 25% of the men received an A. The class is 60% women.
Given that a person chosen at random received an A, what is
the probability this person is a woman?
A 0.18
B 0.28
C 0.64
D 0.10

A

C 0.64

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7
Q

How do you find P(W|A)?

A

P(W | A) = P(W ∩ A)/P(A)

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8
Q

What about P(W ∩ A)?

A

P(W ∩ A) = P(A | W )P(W )

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9
Q

Four witnesses, A, B, C, and D, at a trial each speak the truth
with probability 1
3 independently of each other. In their testi-
monies, A claimed that B denied that C declared that D lied.
What is the (conditional) probability that D told the truth?
Hint: In this problem, two lies do in fact make a truth. Thus,
if two people lie, the conclusion will be that D told the truth.
A 13/41
B 13/81
C 1/3

A

A 13/41

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10
Q

What are the parameters of a Binomial Distribution?

A

Parameters n and p

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11
Q

What are the parameters of a Geometric Distribution?

A

Parameter p

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12
Q

What are the parameters of a Poisson Distribution?

A

Parameter λ

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13
Q

What are the parameters of a Normal Distribution?

A

Parameters μ and σ2

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14
Q

What are the parameters of a T-Distribution?

A

Parameters “Degrees of Freedom”

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15
Q

What Distributions are discrete?

A

Binomial, Geometric, and Poisson.

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16
Q

What does a Binomial variable represent?

A

the probability of x successes in n trials

17
Q

Under Assumptions OLS1-OLS3 estimators are _____

A

unbiased

18
Q

Under Assumptions OLS1-OLS4, the OLS estimators are

A

normally distributed when n is large,
Bjhat ~ N(Bj, Var(Bjhat)

19
Q

Under assumptions OLS1-OLS5,_______

A

Prediction intervals can be computed

20
Q

Under Assumptions OLS1-OLS4, the OLS estimator is the (BLUE)_______

A

Best linear unbiased estimator

21
Q

Uhati = Yi − bYi
= Yi − bβ0 − bβ1Xi

A