Dynamic Panel Data Models Flashcards

1
Q

What is a dynamic model?

A

Models where your dependent variable in the previous period of time is included as an explanatory variable now

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2
Q

What is the correlation between the transformed lagged dependent variable and the transformed error term in the fixed effects estimator?

A
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3
Q

What is the problem with the Fixed effects transformation?

A

This transformation makes every observation in the transformed data endogenous to every other for a given individual

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4
Q

What is the Generalised Methods of Moments estimator?

A
  • Very similar to the 2SLS
  • Only difference is GMM allows for heteroskedasticity and autocorrelation within individual unit errors but not across them
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5
Q

How do we represent a dynamic panel model?

A
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6
Q

Why can’t we instrument dynamic panel data as we would regular panel data?

A

because yt-1 is on the RHS, we must difference both sides

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7
Q

Is the error term correlated with values of yt-k where k≥2?

A

No, they all equal 0

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8
Q

How many instruments do we need for t time periods?

A

t-2

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9
Q

What is the main property of Difference GMM?

A
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10
Q

How does the system GGM ‘augment’ the difference GMM?

A
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11
Q

What is the issue with the differenced residuals exhibiting AR(2) behaviour and how do we fix it?

A
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12
Q

What is the correlation between the differenced residual and the differenced dependent variable (lagged j times)?

A
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13
Q

What are the properties of the Sargan/Hansen test, and when do we reject the null?

A

We reject the null when the chi-square value is greater than the critical value, or p > 0.05

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