Sharp RD/MLDA
(Non)parametric
Fuzzy RD/Exam Schools
Miscellaneous
200

The acronym for this threshold is MLDA.

Minimum Legal Drinking Age

200
It measures the width of the window.
Bandwidth
200

The initials of this exam school are BLS.

Boston Latin School

200

These two people are the authors of the Mastering Metrics textbook.

Joshua D. Angrist and Jorn-Steffen Pischke

400

The simple RD equation for the MLDA example.

Ma = α + pDa + ya + ea

400

The consequence of a narrow window. 

Less precision

400

Draw a diagram showing the difference between a sharp and fuzzy RD.

Points pending approval 

400

The final Figure Number in Chapter 4.

4.10

600

The value of p (rho) in the simple MLDA equation.

7.7 deaths per 100,000

600

The reason to narrow the window. 

It is easier to distinguish the discontinuity. 

600

According to a simple regression model, what is the estimated coefficient for peer quality.

0.25 standard deviations

600

The rating of Professor Shepard on ratemyprofessor.com.

5/5, of course!

800

The value of p (rho) in the fancy/quadratic MLDA equation.

9.5 deaths per 100,000

800

Assuming a good RD model, the extent to which results should change under different bandwidths. 

Results should not change.

800

The peer quality effect is not statistically significant according to this equation.

2SLS equation

800

These two psychologists told the first RD story.

Donald L. Thistlethwaite and Donald T. Campbell

1000
The MLDA RD was supported by this factor in table 4.1. 

Motor Vehicle Accidents

1000

State a difference between parametric and non-parametric.

Parametric assumes a functional form, nonparametric does not.

Non-parametric uses data near the cutoff point. 

1000

This happens when replacing peer quality with peer proportion white in the second stage of the 2SLS equation.

Nothing changes. Both are not statistically significant. 
1000

Draw the cartoon at the end of the MLDA example.

see page 163

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