8- Inference Flashcards

1
Q

What are the 5 main steps to inference?

A
  • Form a hypothesis about a parameter βj in the population
  • Collect suitable data
  • Perform a regression to obtain ^βj
  • Perform a statistical test: if our hypothesis about βj is true, what are the odds of finding ^βj from the sample
  • Reject the hypothesis if odds are sufficiently small
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2
Q

What is the 6th MLR assumption of normality?

A

The population error u is independent of the explanatory variables and normally distributed with mean 0 and variance σ^2

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3
Q

What are the 6 MLR assumptions collectively referred as?

A

The classical linear (CLM) assumptions

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4
Q

How do you standardise a variable to get it to be normally distributed?

A

Subtract the mean and divide by the standard deviation:

^βj-βj/sd(^βj)

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5
Q

What does the t-stat tell us?

A

How far away the estimator ^βj is away from the hypothesised value

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6
Q

Why and how do we use the t distribution in statistical inference?

A

We can’t use the normal distribution, because it depends on standard deviation which is unknown. We use ^σ instead which gives the standard error: t*=^βj-βj/se(^βj)

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7
Q

What are the 3 steps for a two-sided hypothesis test?

A
  • Calculate t* = ^βj-a/se(^βj)
  • Pick a significance level α (usually 5%)
  • Reject H0 if |t| > c fail to reject H0 if |t| ≤ c
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8
Q

What is the critical value (c)?

A

It is the t value that ensures that the probability we reject H0 when it is true is α

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9
Q

What is a Type 1 error?

A

Rejecting H0 even though H0 is true

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10
Q

What is a Type 2 error?

A

Failing to reject H0 even though H1 is true

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11
Q

What is the definition of the p-value associated with a two-sided t-test?

A

The p-value tells us how likely it would be under the null hypothesis to randomly obtain a t-stat that is more extreme than the one we estimated (t)
Pr(T>t
)

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12
Q

What is the interpretation of a confidence interval?

A

If we took many random samples and calculated a confidence interval each time, βj would lie in that confidence interval 95% of the time

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13
Q

When do you apply an F-test?

A

When you’re testing multiple restrictions e.g H0: β1 = 2, β2 = 3

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14
Q

What is the restricted model?

A

The regression with the restrictions from H0 imposed

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