�뿰�꽭��� 怨꾨웾寃쎌젣�븰 議깅낫 econo1 fall final exam / Final Exam for Econometrics(1) Fall 2014 Prof. Tae-Hwan Kim 1. [33 points] Consider a simple regression given bywhere is the number of observations. Now, the unit of the explanatory variable ( ) has changed so that the new explanatory variable (denoted by) is related to as where is a constant between 0 and 1. Using the���
�뿰�꽭��� 怨꾨웾寃쎌젣�븰 議깅낫 econo1 fall midterm exam / Midterm Exam for Econometrics (1):Fall 2013 Prof. Tae-Hwan Kim 1. [42 points] We consider using the variable ��쏛irline Travel��� (i.e. how much we consume on airline travel) as our dependent variable ( ) and ��쏧ncome��� (i.e. how much we earn) as the explanatory variable ( ).Suppose that the OLS regression is given by (0.���
�뿰�꽭��� 怨꾨웾寃쎌젣�븰 議깅낫 econo1 fall final exam / 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��셳 ha���
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