BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ECONOMICS AND FINANCE | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO3062 | Econometrics II | Spring | 3 | 0 | 3 | 8 |
Basic information
| Language of instruction: | English |
| Type of course: | Must Course |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi EMİNE ZEREN TAŞPINAR |
| Course Lecturer(s): |
Assoc. Prof. OZAN BAKIŞ |
| Recommended Optional Program Components: | None |
| Course Objectives: | The main objective of the course is teach students advanced econometric methods building on their knowledge of the calssical regression model and its violations learned in Econometrics course. |
Learning Outcomes
|
The students who have succeeded in this course; 1. That classical linear regression models covered in ECO3061 falls short of answering some economic questions due to its restrictive assumptions which are not satisfied by many data sets. 2. Basics of three advanced econometric models that go beyond the classical linear regression model to overcome its limitations: pooled-cross sectional models, panel data models and time-series models. 3. How to estimate pooled-cross sectional models, panel data models and time-series models and conduct hypothesis testing for research questions to be answered with these models. 4. Advantages and disadvantages of different estimation and test procedures related with pooled-cross sectional models, panel data models and time-series models. 5. Carrying out and interpreting empirical studies in economics and related fields with advanced econometric models. 6. Running estimations of pooled-cross sectional models, panel data models and time-series models and doing related hypothesis testing in R. |
Course Content
| Panel Data TimeSeries Models Nonstationary Data Dummy Dependent Variable Techniques Simultaneous Equations Forecasting ARMA and ARIMA Models |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Panel Veri | |
| 3) | TimeSeries Models | |
| 4) | Nonstationarity | |
| 5) | Nonstationary data | |
| 6) | Dummy Dependent Variable Techniques | |
| 7) | Dummy Dependent Variable Techniques | |
| 8) | Review | |
| 9) | Simultaneous Equations | |
| 10) | AR models | |
| 11) | MA models | |
| 12) | ARMA-ARIMA models | |
| 13) | Forecasting | |
| 14) | Forecasting |
Sources
| Course Notes / Textbooks: | Introduction to Econometrics, James H. Stock and Mark M. Watson, Pearson Wooldridge, J. Introductory Econometrics: A Modern Approach, 6th ed., South-Western College Publishing. (Earlier or later editions are OK as well). The lectures are based mainly on this book. Power point slides, chapter outlines and other resources are available at: http://edu.cengage. co.uk/ (search for “wooldridge” in the search bar). |
| References: |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 1 | % 10 |
| Midterms | 1 | % 40 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 15 | 3 | 45 |
| Study Hours Out of Class | 15 | 6 | 90 |
| Quizzes | 15 | 1 | 15 |
| Midterms | 1 | 3 | 3 |
| Final | 1 | 3 | 3 |
| Total Workload | 156 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Build up a body of knowledge in mathematics and statistics, to use them, to understand how the mechanism of economy –both at micro and macro levels – works. | 3 |
| 2) | Understand the common as well as distinctive characters of the markets, industries, market regulations and policies. | 2 |
| 3) | Develop an awareness of different approaches to the economic events and why and how those approaches have been formed through the Economic History and understand the differences among those approaches by noticing at what extent they could explain the economic events. | 5 |
| 4) | Analyze the interventions of politics to the economics and vice versa. | 2 |
| 5) | Apply the economic analysis to everyday economic problems and evaluate the policy proposals for those problems by comparing opposite approaches. | 5 |
| 6) | Understand current and new economic events and how the new approaches to the economics are formed and evaluating. | 4 |
| 7) | Develop the communicative skills in order to explain the specific economic issues/events written, spoken and graphical form. | 5 |
| 8) | Know how to formulate the economics problems and issues and define the solutions in a well-formed written form, which includes the hypothesis, literature, methodology and results / empirical evidence. | 5 |
| 9) | Demonstrate the quantitative and qualitative capabilities and provide evidence for the hypotheses and economic arguments. | 5 |
| 10) | Understand the information and changes related to the economy by using a foreign language and communicate with colleagues. | 2 |