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Asymptotic Methods in Statistical Inference - Statistics Centre

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217<br />

• If <strong>in</strong>stead of test<strong>in</strong>g = − = 0 one tests<br />

= =1,both2∆ and 2 are unchanged.<br />

But start<strong>in</strong>g with<br />

⎛ ⎛ ⎞⎞<br />

√ ³ ¯ − ´ <br />

→ ⎝0 ⎝ 1−<br />

0<br />

⎠⎠ <br />

¯ − <br />

0<br />

then us<strong>in</strong>g the delta method to get the null distribution<br />

of √ (ˆ − 1) = ¯¯ − 1, and form<strong>in</strong>g<br />

Wald’s statistic, gives<br />

à ! 2 ¯<br />

˜ 2 = ˆ 1 (1 − )<br />

¯ − 1 <br />

for a consistent estimate ˆ 1 . For the orig<strong>in</strong>al null<br />

hypothesis (recall (24.1))<br />

2 = (1 − ) ³ ¯ − ¯´2<br />

<br />

ˆ 2<br />

for a consistent estimate ˆ 2 . The ratio between<br />

the two is<br />

˜ 2 <br />

2 <br />

= ˆ 1ˆ 2<br />

¯ 2<br />

<br />

→ 1<br />

so that the two statistics are asymptotically equal.<br />

Whether or not Wald’s test rema<strong>in</strong>s the same

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