Week 4: Chapter 9&13 Flashcards

1
Q

What’s a single cross-section?

A

Cross-sectional data collected by observing multiple subjects at one single point in time

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2
Q

Pooled-cross sectional data?

A

sampling randomly from the same population at different points in time

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3
Q

Panel data?

A

Many cross-sections that show data for the same respondents over different points in time.

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4
Q

Advantage of pooled CS?
Disadvantage and solution for this?

A

Adv: Samples are independent, also gives us a larger sample thus more precise estimates and more powerful test statistics
Disadv: Samples may not be identically distributed, solution is to control for the time period directly.

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5
Q

Differences in Differences Estimator (DiD) standard model

A

Useful for testing natural experiments
- see model in notes

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6
Q

Natural Experiments

A

Always have two groups:
Treatment group: T(dT = 1) and
Control group: C(dC = 0).

To control for systematic differences between T and C, we need two years o fdata
- Pre-policy change (d1=1) and post-policy change (d2=1)
- This gives us 4 groups: the control group before the change, the control group after the change, the treatment group before the change, and the treatment group after the change

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7
Q

How does panel data address OVB?

A

By splitting the unobserved factors into two groups (i) factors that are constant and (ii) factors that vary across time

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8
Q

Fixed-effects model, what does ai and uit mean?

A

Find model in notes
ai: the unobserved time constant factors that affect yit.
- Also known as heterogeneity

uit: idiosyncratic/time-varying error, unobserved factors that change overtime and affect yit.

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9
Q

When does heterogeneity bias exist within the FE model?

A

Corr(vit,xit) does not = 0, bias exists when omitting the ai

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10
Q

First difference model

A

notes

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11
Q

When is the FD worse than pooled OLS?

A

The FD estimator can be worse than pooled OLS if one or more of the explanatory variables is subject to measurement error

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