midterm formulae Flashcards

1
Q

Independent variable is endogenous if

A

Correlated with the error term

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2
Q

-

A

Average

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3
Q
A

Predicted

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4
Q

B1^

A

Sum (x1-x-)(y1-y-) / sum (x1 - x-)^2

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5
Q

B0^

A

Y- - B1^x-

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6
Q

Ssr

A

Sum u1- squared

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7
Q

SST

A

Sum (y1 minus yhat)squared

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8
Q

R squared

A

Variation in y explained by the variables in this model
1 - ssr/sst

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9
Q
A
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10
Q

Mpc ^

A

Slope

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11
Q

Apc^

A

Cons^ / income

B0/income. + b1

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12
Q

B1log(sale)
B1 means

A

Elasticity of y with respect to sales

A 1% increase in sales increase y by b1

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13
Q

Y

A

Dependent variable

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14
Q

X

A

Independent variable

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15
Q

U

A

Error term / unobserved factors

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16
Q

B0

A

Intercept value of y when x = 0

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17
Q

B1

A

Slope / effect of x on y

Y will (+-) by b1 for every x

18
Q

N

A

Sample size

19
Q

Omitted variable

A

Variable the omitting of would cause a negative bias

20
Q

For wrong sign

A

Need a positive variable with negative correlation
Or
Need a negative variable with positive correlation

21
Q

Diff in y

A

B1(triangle) + b2(triangle)

Triangles = difference veteran ppl A and B

23
Q

Log log

A

Log y = b1 log x

B1 is percentage change in y when x changes by 1%

24
Q

Level log

A

B1log x

B1/100 is change in y per percentage change in x

25
Q

Log level

A

Log y

B1 is percentage change in y when x changes by 1 unit

27
Q

Billionare = 0.195log (Pop)

A

A 1% Increase in pop means 0.195 increase in billionaires

28
Q

Change in siblings

A

1=0.94changesibs

29
Q

Residuals u1^

A

Y1 - y1^

Diff between actual and predicted values

31
Q

Ols

A

Estimates the relationship between variables while minimising residual errors.

32
Q

E(points|attempts) = b0 + b1attempts

A

The average of points in the population lies on the straight line described by b0 + b1atttwmpts.

33
Q

Mean

34
Q

Omitting variables (x2, x3)

A

Causes bias in the estimation of b1

35
Q

The bias depends on

A

The correlation between x1 and the omitted variables

The size of the coefficients b1 (large partial efffects mean larger bias)

36
Q

If x1 is highly correlated with x2, omitting them leads to

A

A significant change in the estimates coefficient of x1.

37
Q

B1(squiggly line) from simple regressions and b1^ can be

A

Very different due to the omitted variable bias

38
Q

The more correlates x1 is with x2 and x3,

A

The larger the effects fo x2 and x3 on y are, the greater difference between b1 squiggle and b1^

39
Q

B1 squaggle

A

B1^ + b2^music note 1 squiggle