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Graduate Course Proposal Form Submission Detail - ECO7426
Tracking Number - 1873
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Current Status:
Approved, Permanent Archive - 2005-11-10
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Detail Information
- Date & Time Submitted: 2005-02-10
- Department: Economics
- College: BA
- Budget Account Number: 00-1403-00
- Contact Person: Michael Loewy
- Phone: 46532
- Email: mloewy@coba.usf.edu
- Prefix: ECO
- Number: 7426
- Full Title: Econometrics III
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?:
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Econometrics III
- Course Online?: -
- Percentage Online:
- Grading Option:
R - Regular
- Prerequisites: ECO 6425, ECO 6405 or CC
- Corequisites:
- Course Description: The aim of this course is to provide students several important advanced econometrics techniques and how they can be used in empirical research and practical applications. Emphasis will be on cross-sectional and panel data models.
- Please briefly explain why it is necessary and/or desirable to add this course: This course covers econometric techniques that are important for doing empirical dissertations in economics and finance.
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? This is the third semester of a four semester sequence in econometrics. It commonly serves as one-half of an econometrics field in our PhD program, but is also taken by many of our MA students. The course also draws students from finance and statistics.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes. Four times.
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Instructor must a PhD in economics and undertake empirical research.
- Objectives: To provide students with several advanced econometric techniques that can be applied in empirical research and practical applications.
- Learning Outcomes: Students will be familiar with the techniques being taught and will be able to apply them to their own research.
- Major Topics: Panel data, Nonlinear estimation methods, Limited dependent variable models, Sample selection, Count data, Duration model
- Textbooks: Wooldridge, JM. "Econometric Analysis of Cross Section and Panel Data." MIT Press, 2002.
- Course Readings, Online Resources, and Other Purchases:
- Student Expectations/Requirements and Grading Policy:
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- Policy on Make-up Work:
- Program This Course Supports:
- Course Concurrence Information:
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.