Econometrics Final

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15 Terms

1
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How does less variation affect the regression?

Increases standard error.

2
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Attenuate

  • Coefficient is biased towards zero making it an underestimation.

  • Occurs when innaccurately reporting higher and lower.

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What does substantial coefficient change across regressions imply?

The presence of OVB.

4
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Probit Model

A nonlinear function where probabilities lie between 0 and 1.

5
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Panel Data

  • Tracks the same variables and units over time.

  • Includes fixed effects which control OVB.

6
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How would you calculate a squared polynomial coefficient?

Coefficient * (#2)

7
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Types of Regressions

  • Linear, nonlinear, quadratic, probit.

  • Make sure to state when comparing and stating preferred regression.

8
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Explain if a variable causes OVB.

If a variable affects both the x and y variable (explain how specifically), it causes OVB.

9
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Simultaneous Causality

X affects y and y affects x.

10
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Does missing data cause bias?

  • Doesn’t cause bias if the missing data just reduces sample size without making the estimates biased.

  • Causes bias if the x variable is missing based on observed variables/unobserved factors.

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How to determine direction of bias?

  • Based on the y variable.

    • If x increases, but y remains low, its an underestimation.

    • If x decreases, but y remains high, its an overestimation.

12
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Calculate economic significance

(coefficient / mean) * 100 = % = economic significance

13
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Calculating Probit Model Coefficients

Translate normal calculations through the Cumulative Standard Normal Distribution Table on the back of the test.

14
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Writing Null and Alternative Hypothesises

  • Write as equations.

  • H0: x1 + x3 = 0

  • H1: x1 + x3 /=/ 0

15
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Explaining omitted variable bias within contexts

  • Define OVB using the variables in the experiment.

  • OVB occurs if the variable is correlated with the x and y variable.