Introduction to Regression Flashcards

1
Q

What is the summation operator?

A

Σ signifying the addition of all the values in a given range

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2
Q

What is the range of the summation operator?

A

The number on top gives the upper limit (if n it means all values). The number on the bottom is the lower limit from where the summation begins

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3
Q

What is the constant rule?

A

nΣi=1(c) = nc

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4
Q

How do you calculate a random variable’s deviation from its own mean?

A

The sum of the deviations from the mean is always zero

nΣi=1(x_i - x̅) = 0

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5
Q

What are the 4 main differences between correlation and regression?

A
  • Regression can investigate the relationship between 2 or more variables
  • The direction of causality is asserted
  • The influence of each variable upon the dependent variable is measured
  • The statistical significance of each variable can be ascertained
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6
Q

What are the steps to deriving the Ordinary Least Squares (OLS) estimates for the Bivariate Regression Model?

A
  • Differentiate y with respect to x to obtain β1
  • Obtain the estimated residual ε = y_i - β0 - x_iβ1
  • Differentiate the SSR with respect to β0 and β1, equate each to zero and solve for β0 and β1
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7
Q

What is the sum of squared residuals (SSR)?

A

SSR = Σε^2 = Σ(y_i - β0 - x_iβ_i)^2

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8
Q

What are the 3 main types of variables used in econometrics?

A
  • Continuous variables
  • Natural log of continuous variables
  • Dummy variables (take values zero or one)
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9
Q

What does R^2 measure?

A

The fraction of the variation in y is explained by the regression model

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10
Q

What is the equation for R^2?

A

R^2 = SSM/SST = 1 - SSR/SST

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11
Q

What is the Sum of Squared Model (SSM)?

A

A measure of the variation in the predicted value in Y

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12
Q

What is the formula for SSM?

A

SSM = Σ(y_i - ȳ)^2

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13
Q

What is the Sum of Squared Total (SST)?

A

A statement about how much movement there is in y in the sample

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14
Q

What is the formula for SST?

A

SST = Σ(y_i - ȳ)^2

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15
Q

What are differences-in-differences?

A

A method that applies on experimental research design to outcomes in a natural experiment. It involves comparing the difference in the average outcomes of two groups, a treatment and control group, both before and after the treatment took place

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16
Q

What is the treatment group?

A

Those who were affected by the policy

17
Q

What is the control group?

A

Those who were not affected by the policy