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Syllabus ECONOMETRICS A - 71989
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Last update 12-09-2017
HU Credits: 4

Degree/Cycle: 2nd degree (Master)

Responsible Department: environmental economics & management

Semester: 1st Semester

Teaching Languages: Hebrew

Campus: Rehovot

Course/Module Coordinator: Prof Yacov Tsur

Coordinator Email:

Coordinator Office Hours: Tuesday 9:00 - 10:00

Teaching Staff:
Prof Yacov Tsur

Course/Module description:
The course intends to equip graduate students with basic econometric tools needed to analyze economic data. First the standard regression model will be reviewed, including Least Squares estimation, its statistical properties, and testing statistical hypotheses. Then, the assumptions underlying the standard linear regression model will be relaxed, including models with heteroscedastic and serially correlated errors. Models with panel data (cross section and time series) will be studied. . Instrumental Variable estimation will be studied and used to deal with situations in which the assumption that the explanators are independent of the error term fail to hold. Large sample theory (Laws of Large Numbers and Central Limit Theorems) will be used to relax the normality assumption. Generalized Method of Moments and Maximum Likelihood estimation will be reviewed. Models with Limited dependent variables and models of simultaneous equations will be briefly reviewed. Each of the course's topics will be practiced with actual data via weekly homework assignments

Course/Module aims:
Impart knowledge in various methods for economic models data analysis and practice their applications

Learning outcomes - On successful completion of this module, students should be able to:
Perform standard and multiple regressions
Apply linear statistical models
identify errors in equations
Analyze economic models with serially correlated errors and panel data

Attendance requirements(%):

Teaching arrangement and method of instruction: Lectures and exercises

Course/Module Content:
1.Standard regression model
2.Relaxing assumptions
3.Introduction to statistics of large samples
4.Estimation method
5.Models of panel data
6.Formulation regression model
7.Introduction to models with limited dependent variables
8.Introduction multiplayer equations models

Required Reading:
To be announced at the course site

Additional Reading Material:
Davidson, R. and J. G. MacKinnon (DM), Econometric Theory and Methods, Oxford
University Press, Oxford, 2004

Greene, W.H. (WG), Econometric Analysis, (2nd ed.), Macmillan, New York, 1993

Mittelhammer, R. C., G. G. Judge and D. J. Miller (MJM), Econometric Foundations,
Cambridge University Press, Cambridge, 2000.

Murray, Michael P. Econometrics: A modern introduction (MM), Addison Wesley, Boston,

Wooldridge, J. M. Introductory Econometrics (MW), Thomson, 2006

Course/Module evaluation:
End of year written/oral examination 90 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 10 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %

Additional information:
All homework assignments must be submitted on time
Students needing academic accommodations based on a disability should contact the Center for Diagnosis and Support of Students with Learning Disabilities, or the Office for Students with Disabilities, as early as possible, to discuss and coordinate accommodations, based on relevant documentation.
For further information, please visit the site of the Dean of Students Office.