Econometrics
Economics 125
Fall 2011

Course Description
Syllabus
Paper
Problem Sets
Data Sources
Normal Distribution

Course Description

Econometrics is the application of statistical techniques to economic models in an effort to achieve numerical results and to verify economic theorems. The objective of this course is to provide a very thorough presentation of important econometric concepts. Although you will not become a theoretical econometrician, you should leave the course with an understanding of the main problems which applied economists face.

The course is taught at the advanced undergraduate level for economics majors (though students in other majors are welcome). It is recommended for students interested in writing an empirical senior thesis. All students are required to have successfully studied a year of introductory economics along with a semester of statistics.

The course requirements include class attendance, five computer assignments, one midterm exam, an applied research paper and a final exam. There will be student presentations of the research papers at the end of the semester. The midterm exam will be on Thursday 13 October. The final exam will be in the evening of Monday 12 December. The computer assignments, the paper, the midterm, and the final will all count for about a quarter of your course grade.

The textbook for the course is Christopher Dougherty, Introduction to Econometrics, 4th edition, Oxford University Press, 2011. It should be available at Huntley Bookstore. Other useful references include: Jeffrey Wooldridge, Introductory Econometrics, South Western, 2009, Stock and Watson, Introduction to Econometrics, Prentice Hall, 2007, and A. H. Studenmund, Using Econometrics, Addison-Wesley, 2005.

The computer is used extensively, but prior programming experience is not required or expected. The econometrics package we will be using is Stata11. This software will be made available to students through the Pitzer Computer Network.

If any material is ever unclear, or even if everything is perfectly clear, please come chat with me about econometrics or anything for that matter. If you have a short question, please feel free to call me at the office, leave voicemail or send me email at lyamane@pitzer.edu. For longer and better explanations, come by my office duiring office hours or make an appointment to see me at your convenience. My office is in Fletcher 216 and my number is 607-3769. Office hours for the fall will be on Wednesdays from 8:30-10am, Fridays from 10:30-12noon and by appointment.

Course Syllabus

Simple Regression Analysis                                                                                                   Ch 1

Properties of Regression Coefficients and Hypothesis Testing                                                Ch 2

Multiple Regression Analysis                                                                                                 Ch 3

Transformations of Variables                                                                                                 Ch 4

Dummy Variables                                                                                                                 Ch 5

Specification of Regression Variables                                                                                    Ch 6

Heteroscedasticity                                                                                                                 Ch 7

Stochastic Regressors and Measurement Error                                                                       Ch 8

Simultaneous Equations Estimation                                                                                         Ch 9

Binary Choice and Limited Dependent Variable Models                                                        Ch 10

Models Using Time Series Data                                                                                            Ch 11

Autocorrelation                                                                                                                    Ch 12

Nonstationary Time Series                                                                                                    Ch 13

Panel Data Models                                                                                                               Ch 14


Problem Sets

    Problem Set #1      Due Thursday 22 September

    Problem Set #2      Due Thursday 6 October

    Problem Set #3      Due Thursday 3 November

    Problem Set #4      Due Tuesday 22 November

    Problem Set #5      Due Tuesday 6 December

You may need to download a copy of Adobe Acrobat Reader 10.1 to read these PDF files.

Student Learning Outcomes

1. Students will learn the Gauss Markov Theorem

2. Students will learn how to use STATA 11

3. Students will write an econometrics paper

Data Sources

U.S. Data

  STAT-USA

  Federal Reserve Bank of St. Louis

  White House - Economic Statistics Briefing Room

  Economic Report of the President

  Board of Governors of the Federal Reserve

  Economagic

International Data

    International Monetary Fund

Econometric Models

    FAIRMODEL

Normal Distribution

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