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ex2_answer_120c_su08_S2-1

ex2_answer_120c_su08_S2-1 - STUDENT CONSENT FOR RELEASE OF...

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STUDENT CONSENT FOR RELEASE OF STUDENT INFORMATION (Buckley Waiver) I hereby authorize the UCSD Economics Department to return my graded final examination/research paper by placing it in a location accessible to all students in the course. I understand that the return of my examination/research paper as described above may result in disclosure of personally identifiable information, that is not public information as defined in UCSD PPM 160-2, and I hereby consent to the disclosure of such information. Quarter Summer 2008-S2 Course Econ 120C Date August 5, 2008 Instructor Professor Yongil Jeon Student ID# Print Name Signature
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2 Answer to FINAL EXAM, ECO 120C, Summer 2008 – S2 Economics 120C Name: _________________________ September 5, 2008 (7-10pm) Student ID#: ________key_______ Answer to Final Exam: Econometrics (Econ 120C) Multiple Choices 1. (3 points) The notation for panel data is ( , ), 1,..., it it X Y i n and 1,..., t T because a. we take into account that the entities included in the panel change over time and are replaced by others. b. the X ’s represent the observed effects and the Y the omitted fixed effects. c. there are n entities and T time periods. d. n has to be larger than T for the OLS estimator to exist. Answer : c 2. (3 points) cov ( , | , ) 0 it is it is u u X X for t s z means that a. there is no perfect multicollinearity in the errors. b. division of errors by regressors in different time periods is always zero. c. there is no correlation over time in the residuals. d. conditional on the regressors, the errors are uncorrelated over time. Answer : d 3. (3 points) Assume that data become available on other characteristics of the subjects that are relevant to determining the experimental outcome. Then including these determinants explicitly results in Answer : c 4. (3 points) Departures from stationarity Answer : a
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3 Answer to FINAL EXAM, ECO 120C, Summer 2008 – S2 5. (3 points). An autoregression is a regression Answer : c
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