B17 Dummy variables Flashcards

1
Q

What are qualitative variables in regression

A

Variables that lack meaningful numerical values but rather represents categories

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2
Q

What is another word for dummy variable

A

indicator variable

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3
Q

What is a dummy variable

A

A variable that takes the value of 1 for one category and 0 for the others. Aka a boolean.

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4
Q

Dummy variables affect the intercept but not the slope in linear regression

A

True

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5
Q

The significance of each dummy variable can be determined with a standard t-test

A

True

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6
Q

What does b represent for dummy variables

A

The effect the dummy variable d has when it is 1.

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7
Q

How many dummy variables are used to account for 3 categories

A

2, i assume becouse you can use 00, 10 and 11 to get the three different values

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8
Q

Why should you never include as many dummy variables as there are categories

A

Because that would lead to perfect multicollinearity aka the dummy variable trap

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9
Q

How many indicator variables should be used based on classes

A

One less then the number of classes tested to avoid the dummy variable trap

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10
Q

What is an interaction variable Bxd

A

A dummy variable that has an effect that depends on an independent variable and thus effects the slope.

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11
Q

The test of significance does NOT change when a dummy variable affects the slope

A

true

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12
Q

What is a binary choice regression model

A

A regression model where the response variable Y is a binary, boolean, dummy variable

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13
Q

What are some other words for binary choice models

A

discrete choice models and qualitative response models

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14
Q

What is a linear regression model applied to a binary response model called

A

A linear probability model LPM. It shows how an increase in X effects the probability of Y being 1

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15
Q

What are the drawbacks of the linear probability model LPM

A

That it can produce probabilities greater than 1 and smaller than 0 and that it assumes a linear relationship

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16
Q

The logit model can give a probability of greater than one or smaller than 0

A

False

17
Q

The logit model is Estimated by the OLS estimator

A

false, it is estimated by Maximum likelyhood estimation the MLE estimator

18
Q

Does excell support MLE and the logit regression model

A

No

19
Q

The logit model estimates tha probability of y being 1and is nonlinear

A

true

20
Q

What is the shape of the logit model

A

It is constant at zero but then rises untill it flattens again at one