Econ 220B Course Syllabus, Winter 2020
University of California, San Diego

Course web page:

http://econweb.ucsd.edu/~jhamilto/Econ220B.html

Instructor:

Teaching assistant:

Books available at UCSD bookstore:

Fumio Hayashi, Econometrics, Princeton University Press, 2001. This is the main text for the course. Click here for the home page for Hayashi's text.

James D. Hamilton, Time Series Analysis, Princeton University Press, 1994. This book is used as an optional supplementary text for the course and is also used in other courses at UCSD.

Journal articles:

Arnold Zellner, "Bayesian and non-Bayesian analysis of the regression model with multivariate Student-t error terms", Journal of the American Statistical Association, 71, June 1976, pp. 400-405.

M.L. King, "Robust tests for spherical symmetry and their application to least squares regression", Annals of Statistics, 1980, pp. 1265-1271.

N. Gregory Mankiw, David Romer, and David Weil, "A Contribution to the Empirics of Economic Growth," Quarterly Journal of Economics, 107, May 1992, pp. 407-437.

Joshua D. Angrist and Alan B. Krueger, "Does Compulsory School Attendance Affect Schooling and Earnings?," Quarterly Journal of Economics, 106, November 1991, pp. 979-1014.

Kasey S. Buckles and Daniel M. Hungerman, "Season of Birth and Later Outcomes: Old Questions, New Answers," Review of Economics and Statistics, 95, July 2013, pp. 711-724.

Joshua D. Angrist, "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," American Economic Review, 80, June 1990, pp. 313-336; Errata, December 1990, pp. 1284-1286.

James D. Hamilton, "The Supply and Demand for Federal Reserve Deposits," Carnegie-Rochester Conference Series on Public Policy, 49, December 1998, pp. 1-44.

Joshua D. Angrist and Victor Lavy, "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," Quarterly Journal of Economics, 114, May 1999, pp. 533-575.

Joshua D. Angrist and Jorn-Steffen Pischke, "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," Journal of Economic Perspectives, 24, Spring 2010, pp. 3-30.

Whitney K. Newey and Kenneth D. West, "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, 61, Oct. 1994, pp. 631-653.

Yixiao Sun, "Let’s fix it: Fixed-b asymptotics versus small-b asymptotics in heteroskedasticity and autocorrelation robust inference," Journal of Econometrics 178, January 2014, pp. 659–677.

James H Stock, Jonathan H Wright and Motohiro Yogo, "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business and Economic Statistics 20, Oct. 2002, pp. 518-529.

The articles above can be downloaded online. The syllabus you are now reading can also be viewed as an HTML document at http://econweb.ucsd.edu/~jhamilto/Econ220B_Syllabus.html. If you are viewing this as an HTML document, clicking on any active link above will take you immediately to the source where the article can be viewed online or downloaded.

Grades for Econ 220B will be determined as follows:

Course Outline

Tu Jan 7Review of linear algebra (Hamilton, Section A.4, pp. 721-739)
Th Jan 9The algebra of least squares (Hayashi, Section 1.2)
Tu Jan 14The classical regression model (Hayashi, Sections 1.1 and 1.3; Hamilton, Section 8.1)
Th Jan 16Hypothesis testing (Hayashi, Sections 1.4, 1.5, and 1.7; references: Zellner, 1976 and King, 1980)
Tu Jan 21Generalized least squares (Hayashi, Section 1.6)
Th Jan 23Asymptotic distribution theory (Hayashi, Sections 2.1-2.2; Hamilton, Section 7.1)
Tu Jan 28Large sample properties of OLS (Hayashi, Sections 2.3 and 2.9; Hamilton, Section 8.2)
Th Jan 30Hypothesis testing-- asymptotic results (Hayashi, Sections 2.4-2.6; Hamilton, Section 8.2)
Tu Feb 4Midterm exam
Th Feb 6Maximum likelihood estimation (Hayashi, Section 1.5; Hamilton, Section 5.7)
Tu Feb 11Heteroskedasticity and serial correlation (Hayashi, Sections 2.7, 2.8, 2.10, 2.11; Hamilton, Section 8.3)
Th Feb 13Simultaneous equations bias (Hayashi, Sections 3.1-3.2; Hamilton, Section 9.1)
Tu Feb 18Applied econometrics (Mankiw, Romer, and Weil; Angrist and Krueger; Buckles and Hungerman)
Th Feb 20No scheduled class
Tu Feb 25Applied econometrics (Angrist; Hamilton 1998; Angrist and Lavy; Angrist and Pischke)
Th Feb 27General formulation (Hayashi, Section 3.3; Hamilton, Section 9.2)
Tu Mar 3Weak instruments (Stock, Wright and Yogo)
Th Mar 5Generalized method of moments (Hayashi, Sections 3.4-3.6; Hamilton, Section 14.1)
Tu Mar 10Uses of GMM (Hayashi, Sections 3.8-3.9; Hamilton, Section 14.2; Newey and West; Sun)
Th Mar 12GMM and Maximum likelihood estimation (Hamilton, Section 14.4)
Th Mar 19 Final exam (8:00 a.m. - 11:00 a.m.)