Degree  Type  Year  Semester 

4313805 Economic Analysis  OB  1  2 
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
No specific prerequisits.
The goal of the first part of the module is for students to learn standard concepts of noncooperative and cooperative Game Theory at a graduate level.
In the second and third parts of the module the goal is for students to learn how to analyze, interpret and organize economic data with advanced statistical and econometric techniques. The student will also become familiar with the use of econometric software packages.
I.Game Theory
1.Introduction to Game Theory and Some Examples
2.Games in Normal Form
3.Games in Extensive Form
4.Nash Equilibrium and Related Issues
5.Repeated Games
6.Games of Incomplete Information
7.Bargaining Theory
8.Cooperative Games
II.Econometrics I
1. Introduction to econometric analysis
2. Ordinary least squares
3. OLS and finite sample theory
4. OLS and large sample theory
5. Nonspherical disturbances
6. Endogeneity
III.Econometrics II
1. Extremum estimation and numerical optimization
2. Maximum likelihood
3. Generalized Method of Moments
4. Introduction to time series analysis
5. Additional topics in econometrics
For a detailed description of the content of this module go to https://sites.google.com/view/ideaprogram/masterprogram .
The course will consist of sessions where the instructor presents the material, and sessions specifically dedicated to problem solving. Students are encouraged to form study groups to discuss assignments and readings.
The proposed methodology may undergo some modifications according to the restrictions imposed by the health authorities on oncampus courses.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title  Hours  ECTS  Learning Outcomes 

Type: Directed  
Theory classes  112.5  4.5  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Type: Supervised  
Problems sets, tutorials  75  3  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Type: Autonomous  
Personal study, study groups, textbook readings, article readings  187.5  7.5  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
1. CONTINUOUS EVALUATION
Exam Part I 
26% 
Exam Part II 
26% 
Exam Part III 
26% 
Problem sets, assignments & Class attendance and active participation 
22% 
The proposed evaluation activities may undergo some changes according to the restrictions imposed by the health authorities on oncampus courses.
2. THIS MODUL CONTEMPLATES A COMPREHENSIVE EVALUATION option:
COMPREHENSIVE EVALUATION (Art. 265 of the UAB Academic Regulations)
By requesting the comprehensive evaluation the student waives the option of continuous evaluation.
The comprehensive evaluation must be requested at the Academic Management (Gestió acadèmica) of the Campus where the degree/master's degree is taught. The request must be filed according to the procedure and the deadline established by the administrative calendar of the Faculty of Economics and Business.
Attendance :
The following information referring to the characteristics of the comprehensive assessment must be included. We suggest incorporating the following table:
Evidence Type (1) 
Weight in the final assessment (%) (2) 
Duration of the activity 
Is the activity that corresponds to this evaluation evidence to be carried out in person on the date scheduled for the comprehensive evaluation? (YES/NO) (3) 
EXAM 
80% 

YES 
LAB TEST 
20% 

YES 




TOTAL 
100% 


(1) Descriptive title of each piece of evidence (exam, problem sets solving, case analysis, activity carried out using specific software that the student is expected to know,...)
(2) Weight of the evidence in the final mark of the subject (specify the percentages of each evaluation evidence that the student must undertake)
(3) For each piece of evidence: Is the activity that corresponds to this evaluation evidence to be carried out in person on the date scheduled for the comprehensive evaluation? (YES/NO)
Title  Weighting  Hours  ECTS  Learning Outcomes 

Class Attendance and Problem sets and assignments  22%  0  0  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Exam Part I  26%  0  0  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Exam Part II  26%  0  0  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Exam Part III  26%  0  0  2, 1, 3, 4, 5, 6, 8, 10, 11, 9, 7, 12 
Game theory:
Fudenberg and J. Tirole (1991). Game Theory. MIT Press.
Gibbons (1992). A Primer in Game Theory. Harvester Wheatsheal.
Luce and H. Raiffa (1957). Games and Decisions. Wiley.
MasColell, M. Whinston and J. Green (1995). Microeconomic Theory. Oxford University Press.
Moulin (1986). Game Theory for the Social Sciences (second edition). New York University Press.
Moulin (1988). Axioms of Cooperative Decision Making. Cambridge University Press (Econometric Society Monographs).
Myerson (1991). Game Theory: Analysis of Conflict. Harvard University Press.
Osborne and A. Rubinstein (1994). A Course in Game Theory. MIT Press.
Owen (1982). Game Theory (second edition). Academic Press.
Shubik (1984). Game Theory in the Social Sciences. MIT Press.
VegaRedondo (2003). Economics and the Theory of Games. Cambridge University Press.
Econometrics I and II
Cameron, A.C. and P.K. Trivedi, Microeconometrics  Methods and Applications
Davidson, R. and J.G. MacKinnon, Econometric Theory and Methods
Gallant, A.R., An Introduction to Econometric Theor
Greene, W.H. Econometric Analysis, Pearson Prentice Hall.
Hamilton, J.D., Time Series Analysis
Hayashi, F.,Econometrics, Princeton Univesrity Press.
Wooldridge. Econometric Analysis of Cross Section and Panel Data, MIT Press, Cambridge Mass, USA.
Additional references will be provided during the course.