Economics 421 - Econometrics

Syllabus for Winter 2012

Introduction to Econometrics
Course: Economics 421/521
Professor: Mark Thoma
Office/Hours: PLC 471 on T/Th 3:30-4:30 p.m.
Phone/Email: (541) 346-4673, mthoma@uoregon.edu
Web Page: http://economistsview.typepad.com/economics421/

Course Description: This course is a continuation of the econometrics sequence. The first course, EC 420/520, introduces the linear regression model and discusses estimation and testing under (mostly) ideal conditions. This course looks at what happens when the conditions are less than ideal due to departures from the assumptions necessary for ordinary least squares to be the best linear unbiased estimator, and then provides alternative regression techniques that address  problems arising from the violations of the basic assumptions.

Text: Dougherty, Christopher, Introduction to Econometrics, (Oxford: University Press)

Prerequisites: Economics 320 or the equivalent.

GTFs, Office Hours, Location, and Email Address:

Gulcan Cil	M 1-3	PLC 431	gcil@uoregon.edu
Colin Corbett	T/Th 11-11:50	PLC 504	corbett@uoregon.edu

Lab Times:

CRN	Time	Day	Room
22318	1600-1720	M	442 MCK	Gulcan Cil
22319	1730-1850	M	442 MCK	Gulcan Cil
22320	1600-1720	W	442 MCK	Gulcan Cil
22321	1730-1850	W	442 MCK	Gulcan Cil

Tests and Grading: There will be a midterm exam and a final. The midterm will be given Tuesday, February 14th. The final will be given on Monday, March 19th at 8:00 a.m. No make-up exams will be given. The midterm is worth 30% and the final is worth 40%. Grades will be assigned according to your relative standing in the class.

Empirical Project: There will be an empirical paper that will comprise 15% of your grade. The paper is due no later than Thursday, March 15 at the beginning of class. Details will be given during lecture.

Computer Labs: The statistical software package EViews will be used for estimation and testing. Labs will consist of instruction and examples helpful in completing the homework assignments, and other activities. The homework is worth 15% of your grade.

*Tentative* Course Outline:

We will cover the following chapters:
Review of Multiple Regression and Hypothesis Testing
Heteroscedasticity	Ch. 7
Autocorrelation	Ch.12
Stochastic Regressors and Measurement Errors	Ch. 8
Simultaneous Equations Estimation	Ch. 9
And, as time permits:
Binary Choice Models and Maximum Likelihood Estimation	Ch. 10
Models Using Time Series Data	Ch. 11

More details on the readings, homework, homework due dates, etc. will be posted here on an ongoing basis, so please check back regularly.

Syllabus for Winter 2011

Introduction to Econometrics
Course: Economics 421/521
Professor: Mark Thoma
Office/Hours: PLC 471 on T/Th 1:30-2:30 p.m.
Phone/Email: (541) 346-4673, mthoma@uoregon.edu
Web Page: http://economistsview.typepad.com/economics421/

Course Description: This course is a continuation of the econometrics sequence. The first course, EC 420/520, introduces the linear regression model and discusses estimation and testing under (mostly) ideal conditions. This course looks at what happens when the conditions are less than ideal due to departures from the assumptions necessary for ordinary least squares to be the best linear unbiased estimator, and then provides alternative regression techniques that address  problems arising from the violations of the basic assumptions.

Text: Dougherty, Christopher, Introduction to Econometrics, 3rd ed. (Oxford: University Press, 2007)

Prerequisites: Economics 420 or the equivalent.

GTFs, Office Hours, Location, and Email Address:

Sandy Tang	MW 12:30-1:30	PLC 533	htang2@uoregon.edu
Kris Holden	Hours: TBA	PLC 406	kholden@uoregon.edu
Jeff Allen	Hours: TBA	PLC 518	jca@uoregon.edu

Lab Times:

CRN	Time	Day	Room	Instructor
22171	1600-1720	W	442 MCK	Holden
22172	1730-1850	W	442 MCK	Holden
22173	1600-1720	Th	442 MCK	Tang
22174	1730-1850	Th	442 MCK	Tang

Tests and Grading: There will be a midterm exam and a final. The midterm will be given Thursday, February 3rd. The final will be given on Friday, March 18th at 8:00 a.m. No make-up exams will be given. The midterm is worth 30% and the final is worth 40%. Grades will be assigned according to your relative standing in the class.

Empirical Project: There will be an empirical paper that will comprise 15% of your grade. The paper is due no later than Thursday, March 10 at the beginning of class. Details will be given during lecture.

Computer Labs: The statistical software package EViews will be used for estimation and testing. Labs will consist of instruction and examples helpful in completing the homework assignments, and other activities. The homework is worth 15% of your grade.

*Tentative* Course Outline:

We will cover the following chapters:
Review of Multiple Regression and Hypothesis Testing
Heteroscedasticity	Ch. 7
Autocorrelation	Ch.12
Stochastic Regressors and Measurement Errors	Ch. 8
Simultaneous Equations Estimation	Ch. 9
And, as time permits:
Binary Choice Models and Maximum Likelihood Estimation	Ch. 10
Models Using Time Series Data	Ch. 11

More details on the readings, homework, homework due dates, etc. will be posted here on an ongoing basis, so please check back regularly.

Syllabus for Winter 2009

Quick Links: Lectures, Homework, Past Midterms, Past Finals, Video Playlist

 

Introduction to Econometrics
Course: Economics 421/521
Professor: Mark Thoma
Office/Hours: PLC 471 on M/W 3:30-4:30 p.m.
Phone/Email: (541) 346-4673, mthoma@uoregon.edu
Web Page: http://economistsview.typepad.com/economics421/

Course Description: This course is a continuation of the econometrics sequence. The first course, EC 420/520, introduces the linear regression model and discusses estimation and testing under (mostly) ideal conditions. This course looks at what happens when the conditions are less than ideal due to departures from the assumptions necessary for ordinary least squares to be the best linear unbiased estimator, and then provides alternative regression techniques that address  problems arising from the violations of the basic assumptions.

Text: Dougherty, Christopher, Introduction to Econometrics, 3rd ed. (Oxford: University Press, 2007)

Prerequisites: Economics 420 or the equivalent.

GTFs, Office Hours, Location, and Email Address:

Matt Cole

Hours: W 10-11

PLC 520

mcole@uoregon.edu

Lab Times:

Lab	21820	1600-1720	Thu	442 MCK
Lab	21821	1800-1920	Thu	442 MCK

Tests and Grading: There will be a midterm exam and a final. The midterm will be given Monday, February 9th. The final will be given on Tuesday, March 17th at 3:15 p.m. No make-up exams will be given. The midterm is worth 30% and the final is worth 40%. Grades will be assigned according to your relative standing in the class.

Empirical Project: There will be an empirical paper that will comprise 15% of your grade. The paper is due no later than Wednesday, March 11 at the beginning of class. Details will be given during lecture.

Computer Labs: The statistical software package EViews will be used for estimation and testing. Labs will consist of instruction and examples helpful in completing the homework assignments, and other activities. The homework is worth 15% of your grade.

*Tentative* Course Outline:

We will cover the following chapters:
Review of Multiple Regression and Hypothesis Testing
Heteroscedasticity	Ch. 7
Autocorrelation	Ch.12
Stochastic regressors and measurement errors	Ch. 8
Simultaneous Equations Estimation	Ch. 9
And, as time permits:
Binary Choice Models and Maximum Likelihood Estimation	Ch. 10
Models Using Time Series Data	Ch. 11

More details on the readings, homework, homework due dates, etc. will be posted here on an ongoing basis, so please check back regularly.

Syllabus for Winter 2008

Introduction to Econometrics
Course: Economics 421/521
Professor: Mark Thoma
Office/Hours: PLC 471 on W/F 12:30-1:30 p.m.
Phone/Email: (541) 346-4673, mthoma@uoregon.edu
Web Page: http://economistsview.typepad.com/economics421/

Course Description: This course is a continuation of the econometrics sequence. The first course, EC 420/520, introduces the linear regression model and discusses estimation and testing under (mostly) ideal conditions. This course looks at what happens when the conditions are less than ideal due to departures from the assumptions necessary for ordinary least squares to be the best linear unbiased estimator, and provides alternative regression techniques that address  problems arising from the violations of the basic assumptions.

Text: Dougherty, Christopher, Introduction to Econometrics, 3rd ed. (Oxford: University Press, 2007)

Prerequisites: Economics 420 or the equivalent.

GTFs, Office Hours, Location, and Email Address:

Eric Gaus	T    1:00-2:00	PLC 516	egaus@uoregon.edu
Ania Aksan	M 12:30-1:30	PLC 516	aaksan@uoregon.edu

Lab Times:

Lab	21718	1600-1720	Wed	442 MCK
Lab	21719	1800-1920	Wed	442 MCK
Lab	25801	2000-2120	Wed	442 MCK

Tests and Grading: There will be two midterm exams and a final. The midterms will be given Thursday, January 31st and Thursday, February 28th. The final will be given on Thursday, March 20th at 1:00 p.m. No make-up exams will be given. Each midterm is worth 20% and the final is worth 30%. Grades will be assigned according to your relative standing in the class.

Empirical Project: There will be an empirical paper that will comprise 10% of your grade. The paper is due no later than Thursday, March 13 at the beginning of class. Details will be given during lecture.

Computer Labs: The statistical software package EViews will be used for estimation and testing. Labs will consist of instruction and examples helpful in completing the homework assignments, and other activities. The homework is worth 20% of your grade.

*Tentative* Course Outline:

We will cover the following chapters:
Specification of regression models	Ch. 6
Heteroscedasticity	Ch. 7
Autocorrelation	Ch.12
Stochastic regressors and measurement errors	Ch. 8
Simultaneous Equations Estimation	Ch. 9
And, as time permits:
Binary Choice Models and Maximum Likelihood Estimation	Ch. 10
Models Using Time Series Data	Ch. 11

More details on the readings, homework, homework due dates, etc. will be posted here on an ongoing basis, so please check back regularly.

Syllabus for Winter 2006

Introduction to Econometrics

Course: Economics 421/521
Professor: Mark Thoma
Office/Hours: PLC 471 on M/W 12:30-1:30 p.m.
Phone/Email: (541) 346-4673, mthoma@uoregon.edu
Web Page: http://economistsview.typepad.com/economics421/

Course Description: This course is a continuation of the econometrics sequence. The first course, EC 420/520, introduces the linear regression model. This course will examine the consequences and solutions when there are violations of the assumptions necessary for ordinary least squares . to have optimal properties

Text Gujarati, Damodar N., Basic Econometrics, 4th ed. (Boston: McGraw-Hill, 2003)

Prerequisites: Economics 420 or the equivalent.

GTF, Office Hours, Location, and Email Address:

Annie Voy    T/Th    2:30-3:30    PLC 520    avoy@uoregon.edu

Lab Times:

Lab	25962	1600-1720	Tues	442 MCK
Lab	25964	1800-1920	Tues	442 MCK
Lab	25966	1600-1720	Thur	442 MCK

Tests and Grading: There will be two midterm exams and a final. The midterms will be given Monday, February 6th and Monday, February 27th. The final will be given on Monday, March 20th at 10:15 a.m. No make-up exams will be given. Each midterm is worth 20% and the final is worth 30%. Grades will be assigned according to your relative standing in the class.

Homework: There will be approximately 8 homework assignments. These will count for 20% of your grade. Homework is due at the beginning of the lab on the scheduled due date. Late work will not be accepted.

Empirical Project: There will be an empirical paper that will comprise 10% of your grade. The paper is due no later than Wednesday, March 15th at the beginning of class. Details will be given in class.

Computer Labs: The statistical software package EViews will be used for the econometrics. Labs will consist of instruction and examples helpful in completing the homework assignments and other activities.

*Tentative* Course Outline:

Week 1	1/9	Mon	Review OLS Assumptions
	1/11	Wed	Review Hypothesis Tests
	Lab		1st Lab
Week 2	1/16	Mon	Functional Form	Ch. 6
	1/18	Wed	Dummy Variables	Ch. 9
	Lab		1st Homework Due
Week 3	1/23	Mon	Dummy Variables	Ch. 9
	1/25	Wed	Model Specification	Ch.13
	Lab		2nd Homework Due
Week 4	1/30	Mon	Multicollinearity	Ch.10
	2/1	Wed	Multicollinearity	Ch.10
	Lab		3rd Homework Due
Week 5	2/6	Mon	MIDTERM 1
	2/8	Wed	Heteroskedasticity	Ch.11
	2/8	Wed	PAPER TOPIC SUMMARY DUE
	Lab		4th Homework Due
Week 6	2/13	Mon	Heteroskedasticity	Ch.11
	2/15	Wed	Autocorrelation	Ch.12
	Lab
Week 7	2/20	Mon	Autocorrelation	Ch.12
	2/22	Wed	Qualitative Response Models	Ch.15
	Lab		5th Homework Due
Week 8	2/27	Mon	MIDTERM 2
	3/1	Wed	Simultaneous Equations	Ch.18
	Lab		6th Homework Due
Week 9	3/6	Mon	Simultaneous Equations	Ch. 19
	3/8	Wed	Simultaneous Equations	Ch. 20
	Lab		7th Homework Due
Week 10	3/13	Mon	Time Series	Ch. 21
	3/15	Wed	Time Series, Max Likelihood Estimation	Ch. 21
	3/15	Wed	EMPIRICAL PAPER DUE
	Lab		8th Homework Due (Update: due 3/17/06, see here)
Final	3/20	Mon	FINAL EXAM 10:15 – 12:15 a.m.