Instrumental Variables Flashcards

1
Q

What are the requirements for a valid instrumental variable?

A
  • No direct effect on the outcome. Only via the mediator.
  • Must be a strong.
  • The part of “X” coming from “Z” must not be part of the error of “Y”. (Unbiased predictor.)
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2
Q

What are three common types of instrumental variables in educational research?

A

college enrollment, test scores, health, earnings, birth weight, criminal behavior, financial aid, class size, school year, etc…

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3
Q

What type of treatment effect is estimated with instrumental variable methods?

A

local average treatment effect

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4
Q

What is the Wald estimator of treatment effects with instrumental variables?

A

biv = Cov{Y,Z}/Cov{X,Z}

The Wald estimator is also called the method of moments.

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5
Q

What are the steps of the two-stage least squares estimator of treatment effects with instrumental variables

A

Two-stage least squares estimation involves:
1. Regressing X on Z to get estimates X-hat and of X.
2. Regressing Y on X-hat to get an estimate of β1.
Any covariates included in Stage 1 must also be included in Stage 2, but covariates can be included in Stage 2 without inclusion in Stage 1.

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6
Q

What is the main advantage of the 2SLS estimator over the Wald estimator?

A

The Wald estimator only allows one instrument and no additional covariates, but allows the inclusion of additional covariates.

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7
Q

What is the structural equation model to estimate treatment effects with an instrumental variable?

A

(See PPT Slide 11) X -> Y with β1. I ->X. δi -> X. εi -> Y. δi εi (correlated).

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8
Q

What are two potential problems that invalidate an instrumental variable estimator?

A
  • Failure of exogeneity (Z influences Y though other variables than X).
  • Failure of relevance (Z has only a weak relation to X).
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9
Q

Why is the problem of a weak instrument more serious when the sample size is small?

A

Even when assumptions are perfectly met, IV is not unbiased in small (finite) samples.

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10
Q

How can instrumental variables be used to deal with non-compliance in experimental designs?

A

Experimental methods cannot estimate the effect of receiving the treatment, because that cannot be randomly assigned (without perfect compliance). IVs resolve this issue.

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11
Q

How can instrumental variable methods be used to analyze a fuzzy regression discontinuity design?

A

In fuzzy regression discontinuity designs, there are exemptions to the assignment cutoff. However, the cutoff can be used as an instrument for receiving the treatment.
(See PPT Slide 21 for formulas.)

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