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HU Credits:
5
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Environmental Economics & Management
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Rehovot
Course/Module Coordinator:
Ayal Kimhi
Coordinator Office Hours:
Monday 12 - 13
Teaching Staff:
Prof. Ayal Kimhi
Course/Module description:
The course will provide basic knowledge in statistical methods for analyzing economic data. The main method is the linear regression and its extensions. The methods will be applied in weekly assignments.
Course/Module aims:
Students will learn statistical methods commonly used in basic economic research and practice them
Learning outcomes - On successful completion of this module, students should be able to:
Quantify measures such as: demand elasticity, marginal productivity, returns to education, etc. using cross sectional and time series data
Attendance requirements(%):
100%
Teaching arrangement and method of instruction:
lectures and homework assignments
Course/Module Content:
Linear regression (simple and multiple), statistical inference and hypotheses testing, qualitative explanatory variables, relaxing regression assumptions, time series, dynamic models, simultaneous equations, qualitative and limited dependent variables
Required Reading:
Introductory Econometrics by Wooldridge
Additional Reading Material:
Grading Scheme :
Written Exam % 90
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 10 %
Additional information:
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