Skip to content

Latest commit

 

History

History
56 lines (37 loc) · 1.02 KB

2.1.4.md

File metadata and controls

56 lines (37 loc) · 1.02 KB

Solution to Review Question

by Qiang Gao, updated at Sep 17, 2017


Chapter 2 Large-Sample Theory

Section 1 Review of Limit Theorems for Sequences of Random Variables

...

Review Question 2.1.4

Suppose $$ \sqrt{n} ( \hat\theta_n - \theta ) \to_d N(0, \sigma^2) $$. Does it follow that $$ \hat\theta_n \to_p \theta $$?

Hint:

$$ \hat\theta_n - \theta = \frac{1}{\sqrt{n}} \cdot \sqrt{n} ( \hat\theta_n - \theta ) \text{, } \operatorname*{plim}_{n \to \infty} \frac{1}{\sqrt{n}} = 0. $$

Solution

Using the multiply-and-divide strategy,

$$ \hat\theta_n - \theta = \frac{1}{\sqrt{n}} \cdot \sqrt{n} ( \hat\theta_n - \theta ). \tag{1} $$

Because $$ 1 / \sqrt{n} \to 0 $$, as is shown in Review Question 2.1.1,

$$ \frac{1}{\sqrt{n}} \to_p 0. \tag{2} $$

Because $$ \sqrt{n} ( \hat\theta_n - \theta ) \to_d N(0, \sigma^2) $$, combining (2) into (1) and Lemma 2.4(b),

$$ \begin{gather} \hat\theta_n - \theta \to_p 0, \

\hat\theta_n \to_p \theta. \end{gather} $$


Copyright ©2017 by Qiang Gao