# hw3_answer_econ120c_SP10 - STUDENT CONSENT FOR RELEASE OF...

This preview shows pages 1–3. Sign up to view the full content.

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 2009 – Session 2 Course Econ 120C D a t e S e p t e m b e r 4 , 2 0 0 9 Instructor Professor Yongil Jeon Student ID# Print Name Signature

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
       Economics 120C Name: _________key__________________ Professor Yongil Jeon Spring 2010 Student ID#: _______key_______________ Answer Key to Homework #3, Spring 2010 (A Part of Exams #2, Summer 2009 - Session 2) Answer all questions on separate paper. This problem set should be handed in to your TA at the beginning of your discussion class on Friday, June 4, 2010. Problem sets may not be handed in once solutions have been distributed. Please write down your name and PID clearly. Good luck! 1. (20 points) Multiple Choices (5 points each) a) Departures from stationarity a. jeopardize forecasts and inference based on time series regression. b. occur often in cross-sectional data. c. can be made to have less severe consequences by using log-log specifications. d. cannot be fixed Answer : a b) One reason for computing the logarithms (ln), or changes in logarithms, of economic time series is that a. numbers often get very large. b. economic variables are hardly ever negative. c. they often exhibit growth that is approximately exponential. d. natural logarithms are easier to work with than base 10 logarithms. Answer : c c) Heteroskedasticity- and autocorrelation-consistent standard errors a. result in the OLS estimator being BLUE. b. should be used when errors are autocorrelated.
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 10/21/2010 for the course ECON 1530 taught by Professor Ohly during the Spring '10 term at Dartmouth.

### Page1 / 6

hw3_answer_econ120c_SP10 - STUDENT CONSENT FOR RELEASE OF...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online