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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.
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 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.
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1. Students will learn the Gauss Markov Theorem
2. Students will learn how to use STATA 11
3. Students will write an econometrics paper
Federal Reserve Bank of St. Louis
White House - Economic Statistics Briefing Room
Economic Report of the President
Board of Governors of the Federal Reserve
International Data
Econometric Models
This Java applet courtesy of The Java Boutique