School of Economics and Business
BACHELOR´S DEGREE IN BUSINESS ADMINISTRATION Subject
Econometrics
Code
802289
Module
Cross sectional formation
Area
Quantitative Methods
Character
Compulsory
Attendance
2.7
Non Attendance
3.3
Semester
6
Credits
6
Year
Third
Department
DEPARTMENT OF PRINCIPLES OF ECONOMIC ANALYSIS II Coordinator: Sonia Sotoca
Professor
e-mail
Miguel Jeréz Méndez
[email protected]
SYNOPSIS BRIEF DESCRIPTION Econometric modeling of relationships between economic variables using real data. Regression analysis with time series and individual data
PRE-REQUISITES The students should have a solid background in Statistics and Mathematics
AIMS & OBJECTIVES After completing this course, the Student should be able to prepare reports answering relevant questions in business or economics, dealing with forecasting, economic policy design, measuring the effect of a given policy, hypotheses testing, etc. through the econometric analysis of cross-section and/or time series data.
School of Economics and Business
LEARNING OUTCOMES General: CG1, CG2 Cross-sectional: CT1, CT2, CT3 Specific: CE3, CE4, CE5, CE6
LEARNING METHODOLOGY A mixed methodology of teaching and learning will be used in all educational activities with the aim of encouraging students to develop a collaborative and cooperative attitude in the pursuit of knowledge.
TOPICS COVERED (Syllabus) 1: Introduction. The objective of Econometrics. Types of datasets. 2: Simple linear regression model: graphical analysis. 3: Multiple regression: estimation and inference. 4: Regression with cross-section data: problems and topics. 5: Regression with time series data: an introduction.
% OF TOTAL CREDITS
ATTENDANCE
Lectures
20%
100%
Classes
20%
75%
Tutorials
6%
100%
Assessment activities
4%
100%
Homeworks and class assignments
20%
0%
Time to study
30%
0%
TEACHING ACTIVITIES
School of Economics and Business
ASSESSMENT Examination
% Share of Final Grade
60%
% Share of Final Grade
40%
Final exam Other Activities
Individual work, partial exams and other activities Other activities
& Share of Final Grade
ASSESSMENT CRITERIA Semi-continuous evaluation: • Final exam (60%) • Individual work, partial exams and other activities (40%) In the ordinary call, the student must decide (in the first and a half month) whether to follow the continuous assessment or not. If the student decides not to follow the continuous assessment and does not sit for the final exam, the rating will be NP (not evaluated). If the student follows the continuous assessment, the final grade will be that obtained from applying the criteria set in the course tab, even if he/she does not sit for the final exam. In the extraordinary call, if the student does not sit for the exam, the rating will be NP (not evaluated), regardless whether he/she followed the continuous assessment. In the case the student sits for the exam, the grade will be the result of applying the evaluation criteria set in the course tab. Continuous assessment in the extraordinary examination: in case one student has failed the ordinary examination, having attended the final exam and participated in the continuous assessment, the mark to be considered as continuous assessment for that extraordinary examination will be the final mark obtained in the ordinary examination.
School of Economics and Business
TIMETABLE Number of weeks devoted to each topic 3
Topics 1: Introduction. The objective of Econometrics. Types of datasets. 2: Simple linear regression model: graphical analysis.
6
3: Multiple regression: estimation and inference.
3
4: Regression with cross-section data: problems and topics.
3 Seminar: 1 hour each 14 days
5: Regression with time series data: an introduction. Practical work with real datasets
RESOURCES GENERAL BIBLIOGRAPHY • Wooldridge, J.M. (2009). Introductory Econometrics: Approach, 4ed., South Western Cengage Learning
A
Modern
FURTHER READING • Greene, W.H. (2011). Econometric Analysis, 7 ed., Prentice-Hall. • Heij, C., Boer, P., Franses, P.H. Kloek, T. y van Dijk, H.K. (2004). Econometric Methods with Applications in Business and Economics, Oxford University Press. OTHER RESOURCES • • • • • •
Virtual campus Course website http://econometricsmj.blogspot.com.es/ Blogs and personal websites of other instructors Public databases that can be accessed through the Internet Gretl homepage: http://gretl.sourceforge.net/ Free e-Book: Undergraduate Econometrics using Gretl: http://ocw.ehu.es/social-and-juridical-sciences/introductoryeconometrics/gretl/leeadkinsundergraduateeconometricsusinggretl.pdf
School of Economics and Business
