The Major Anomalies Flashcards

1
Q

Non-Stationarity

A

Severity Ranking: (12/18 Total) (1/7 Major)

Description: One or more variables have unit roots.

Implication: OLS parameter estimates are biased and inconsistent. Standard errors of OLS parameter
estimates are biased toward zero.

Identification: Augmented Dickey-Fuller Test. Phillips-Perron Test. Informal identification: R^2 exceeds the
Durbin-Watson statistic; AR(1) coefficient close to or exceeds 1.

Correction: First difference, second difference, percentage change, log, cointegration

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Invalid Restrictions

A

Severity Ranking: (13/18 Total) (2/7 Major)

Description: Restrictions placed on model parameters are inconsistent with the true model.

Implication: Parameter estimates are biased and inconsistent.

Identification: F-Test.

Correction: Alter the restrictions.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Binary Dependent Variable

A

Severity Ranking: (14/18 Total) (3/7 Major)

Description: The dependent variable takes on only two values.

Implication: OLS parameter estimates are biased and inconsistent. Standard errors of the OLS estimates
are biased and inconsistent.

Identification: Examine the dependent variable.

Correction: Logit, Probit, Tobit.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Multinomial Nominal Dependent Variable

A

Severity Ranking: (15/18 Total) (4/7 Major)

Description: The dependent variable takes on discrete values. The ordering of the values contains no
information.

Implication: OLS parameter estimates are biased and inconsistent. Standard errors of the OLS estimates
are biased and inconsistent.

Identification: Examine the dependent variable.

Correction: Multinomial logit, multinomial probit, or multinomial tobit.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Multinomial Ordered Dependent Variable

A

Severity Ranking: (16/18 Total) (5/7 Major)

Description: The dependent variable takes on a small number of discrete values. The ordering of the
values contains information, but the distances between values contain no information.

Implication: OLS parameter estimates are biased and
inconsistent. Standard errors of the OLS estimates
are biased and inconsistent.

Identification: Examine the dependent variable.

Correction: Ordered logit, ordered probit, or ordered tobit

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Censored Dependent Variable

A

Severity Ranking: (17/18 Total) (6/7 Major)

Description: The dependent variable is correctly reported when it is within a given range, but incorrectly
reported as the end-point of the range when outside the range.

Implication: OLS parameter estimates are biased and inconsistent.

Identification: Examine the conditions under which the dependent variable is measured.

Correction: ML for censored data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Truncated Dependent Variable

A

Severity Ranking: (18/18 Total) (17/7 Major)

Description: The dependent variable and regressors are not reported when the dependent variable is
outside a given range.

Implication: OLS parameter estimates are biased and inconsistent. Standard errors of the OLS estimates
are biased and inconsistent.

Identification: Examine the conditions under which the dependent variable is measured.

Correction: ML for truncated data.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly