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On the Identification of Misspecified Propensity Scores - School of ...

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TABLE 6: P<br />

c=0.05<br />

Proportion <strong>of</strong> Rejections<br />

1% level 5% level 10% level<br />

n=100 0.218 0.337 0.426<br />

n=200 0.637 0.781 0.826<br />

n=400 0.984 0.993 0.997<br />

n=500 1.000 1.000 1.000<br />

n=800 1.000 1.000 1.000<br />

n=1000<br />

c=0.10<br />

1.000 1.000 1.000<br />

n=100 0.371 0.505 0.592<br />

n=200 0.813 0.904 0.936<br />

n=400 0.998 1.000 1.000<br />

n=500 1.000 1.000 1.000<br />

n=800 1.000 1.000 1.000<br />

n=1000<br />

c=0.15<br />

1.000 1.000 1.000<br />

n=100 0.449 0.584 0.662<br />

n=200 0.891 0.952 0.970<br />

n=400 1.000 1.000 1.000<br />

n=500 1.000 1.000 1.000<br />

n=800 1.000 1.000 1.000<br />

n=1000 1.000 1.000 1.000<br />

DGP: D ∗ = 1 + X1 + X2 − ǫi, ǫ ∼ N(0, σ 2 ),<br />

Estimated model: Q(X, β) = β 0 +β 1X1+β 2X2

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