연세대 계량경제학 족보 econo1 fall midterm exam

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연세대 계량경제학 족보 econo1 fall midterm exam.doc
📂 자료구분 : 족보노트 (족보)
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연세대 계량경제학 ~dterm exam 자료설명

연세대 계량경제학 족보 econo1 fall midterm exam

연세대 계량경제학 ~dterm exam 자료의 목차

Midterm Exam for Econometrics (1): Fall 2013
Prof. Tae-Hwan Kim

1. [42 points] We consider using the variable “Airline Travel” (i.e. how much we consume on airline travel) as our dependent variable ( ) and “Income” (i.e. how much we earn) as the explanatory variable ( ). Suppose that the OLS regression is given by

(0.5) (0.11)
where = 100 and the numbers in parentheses are standard errors. Denoting the true slope parameter by , supp

본문내용 (연세대 계량경제학 ~m exam.doc)

Midterm Exam for Econometrics (1): Fall 2013
Prof. Tae-Hwan Kim

1. [42 points] We consider using the variable “Airline Travel” (i.e. how much we consume on airline travel) as our dependent variable ( ) and “Income” (i.e. how much we earn) as the explanatory variable ( ). Suppose that the OLS regression is given by

(0.5) (0.11)
where = 100 and the numbers in parentheses are standard errors. Denoting the true slope parameter by , suppose that we


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연세대 계량경제학 족보 econo1 fall final exam

연세대 계량경제학 ~l exam.doc 파일정보

연세대 계량경제학 족보 econo1 fall final exam.doc
📂 자료구분 : 족보노트 (족보)
📜 자료분량 : 1 Page
📦 파일크기 : 47 Kb
🔤 파일종류 : doc

연세대 계량경제학 ~final exam 자료설명

연세대 계량경제학 족보 econo1 fall final exam

연세대 계량경제학 ~final exam 자료의 목차

Final Exam for Econometrics(1)
Fall 2013
Prof. Tae-Hwan Kim

The weight of each question is in square bracket. Good luck!
1. [30 points] About the Weak Law of Large Numbers (WLLN).
(i) State clearly what is the WLLN.
(ii) Prove the WLLN
(iii) Explain why the WLLN is important when studying the OLS estimator. (You don’t have to prove anything here. Just explain!)

2. [30 points] About the White test for heteroscedasticity.
(i) State clearly how to implement the White test.
(ii) Supp

본문내용 (연세대 계량경제학 ~l exam.doc)

Final Exam for Econometrics(1)
Fall 2013
Prof. Tae-Hwan Kim

The weight of each question is in square bracket. Good luck!
1. [30 points] About the Weak Law of Large Numbers (WLLN).
(i) State clearly what is the WLLN.
(ii) Prove the WLLN
(iii) Explain why the WLLN is important when studying the OLS estimator. (You don’t have to prove anything here. Just explain!)

2. [30 points] About the White test for heteroscedasticity.
(i) State clearly how to implement the White test.
(ii) Suppose that the


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