sap course 1429220851

Course Code & Number:

ECON 332_O

Course Title:

Econometrics II

Level of Course:

BS

Credits:

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Catalog Description:

Estimation of binary dependent variable models. Use of instrumental variables technique. Introduction to forecasting models. Analysis of time series data. Detection of autocorrelation and heteroscedasticity in time series data. Identification of stationarity and cointegration of time series. Causality in time series models.

Pre-requisites & Co-requisites:

Pre-requisites: ECON 331_O
Co-requisites: NONE
Year of Study: 
Junior
Semester: 
Spring
Mode of Delivery: 
Face-to-face
Language of Instruction: 
English
Course Type: 
Compulsory
Required Reading: 
1. Wooldridge. J., Introductory Econometrics: A Modern Approach. 4th Edition, South-Western College Pub., Cincinnati, 2008.
Course Objective: 

This course aims to provide the necessary background techniques needed to analyse the behaviour of time series processes; to develop the analytical skills required to characterize the theoretical properties of different time series processes; to provide a sound understanding of the applicability and limitations of the univariate time series methodology as a means for empirical modelling and producing forecasts of economic time series.

Extended Description: 

Review of Linear Regressions, including classic linear panel data models. Time Series Analysis. Times Series Regression and Autocorrelation. Trends and Seasonality. The AR(1) And MA(1) Models. Topics in Linear Panel Data Models. Nonlinear Estimation Techniques. M-Estimation. Maximum Likelihood. GMM. Nonlinear Models and Related Topics. Discrete Response Models. Treatment Effect and Regression Discontinuity.Estimation of Dynamic Structural Models.

Computer Usage: 
Students will use Stata 12, MS Office applications (Word, Excel, Access, Powerpoint) to work on their weekly assignments about 2 hours a week.
Learning Outcomes: 

Upon succesful completion of this course, a student will be able to
1. Demonstrate understanding of verbal, graphical, mathematical and econometric representation of economic ideas and analysis, including the relationship between them. 
2. Demonstrate more extensive knowledge and skills of quantitative economics and econometrics.
3. Apply complex ideas to solve problems; reason logically and work analytically; perform with high levels of accuracy.
4. Apply mathematical, statistical and graphical techniques in an appropriate manner and analyse and solve complex problems accurately. 
5. Relate economic questions to empirical observations and try to deal with those using econometric models based on sound hypotheses. 
6. Have a working knowledge of a statistical software and use it to address empirical questions. 
7. Demonstrate the ability to apply econometric principles by writing a quality paper and giving oral presentations of the findings of the paper as an individual and as a group member. 

Planned Learning Activities and Teaching Methods: 
Telling/Explaining
Discussion/Debate
Questioning
Reading
Demonstrating
Problem Solving
Case Study/Scenarion Analysis
Oral Presentation
Hands-on Activities
Web Searching
Assessment Methods and Criteria: 
Test / Exam
Quiz/Homework
Labrotary Work
Presentation (Oral/Poster)

Student Workload:

Lab Application
24
hrs
Quizzes /Homeworks
16
hrs
Midterm Exam 1
16
hrs
Final Exam
16
hrs
Research Review
24
hrs

Prepared By:

Jülide Yıldırım Öcal

Revised By:

sap_editor