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Exercise 9.19 An economist estimates Yi = xlißi + x2iß2 + ei by least-squares and tests the hypothesis Ho: B2 = 0 against Hı:

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Answer #1

a) The correct degrees of freedom of the Wald statistic is one.

b) Now 1% quantile(upper) of a chi square random variable with DF unity is  6.634897. Thus Wald statistic is less than the  1% upper quantile of a chi square random variable with DF unity.

Actually, Wald test rejects the null if Wald statistic exceeds  1% quantile(upper) of a chi square random variable with DF unity.

Here the Wald statistic does not exceed the  1% upper quantile of a chi square random variable with DF unity and hence, we fail to reject the null hypothesis.

For query in above, comment.

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Exercise 9.19 An economist estimates Yi = xlißi + x2iß2 + ei by least-squares and tests...
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