TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES |
| ECONOMETRICS PR. (ENGLISH) | |
| Code | ECMZ401 |
| Name | Econometrics III |
| Term | 2021-2022 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Lisans Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. KENAN LOPCU |
| Course Instructor |
Doç. Dr. HALİL İBRAHİM KESKİN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to provide students with the basic concepts of econometrics and to strengthen econometric background. This course also aims to equip students with skills to carry out independent applied research and be able to apply certain econometric methods to economic problems.
Course Content
This course, which is the continuation of econometrics I and econometrics II, will focus on topics such as simultaneous equations estimation methods, dynamic models, discrete choice models, limited dependent variable models, panel data analysis, time series analysis.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students completely master the econometric model specification. |
| LO02 | Learn to estimate dynamic models and apply different types of tests. |
| LO03 | Estimates the discrete choice models and interpret the results economically. |
| LO04 | Estimates the panel data models interpret the results economically. |
| LO05 | Estimates the time series models and interpret the results economically. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the basic concepts and theorems in the fields of Econometrics, Statistics and Operations research | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires basic Mathematics, Statistics and Operation Research concepts | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Describes the necessary concepts of Business | 4 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Equipped with the foundations of Economics, and develops Economic models | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Models problems with Mathematics, Statistics, and Econometrics | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzes/interprets at the conceptual level to develop solutions to problems | 2 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Collects/analyses data from reliable data sources for the purpose of study | 5 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Interprets the results analyzed with the model | 5 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Combines the information obtained from different sources within the framework of academic rules in a field of research | 5 |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Adapts traditional approaches, practices and methods to a new study when necessary | 2 |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Uses a package program of Econometrics, Statistics, and Operation Research | 4 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Leads by taking responsibility individually and/or within the team | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | In addition to herself/himself professional development, constantly improves in scientific, cultural, artistic and social fields in line with interests and abilities | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Being aware of the necessity of lifelong learning, it follows the current developments in the field / constantly renews itself | |
| PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses Turkish and at least one other foreign language, academically and in the business context | |
| PLO16 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Interprets the feelings, thoughts and behaviors of the related persons correctly/expresses himself/herself correctly in written and verbal form | |
| PLO17 | Yetkinlikler - Alana Özgü Yetkinlik | Interprets data on current economic and social issues | |
| PLO18 | Yetkinlikler - Alana Özgü Yetkinlik | Applies social, scientific and professional ethical values |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Model specification, model specifation error and types of model specification error | Readings and problem set | |
| 2 | Tests of model specification error , errors of measurement and model selection criteria. | Readings and problem set | |
| 3 | Dynamanic models: Estimation of Distributed -Lag models. The Koyck Approach, Adaptive expectation, Partial adjustment | Readings and problem set | |
| 4 | Estimation of Autoregressive models: Almon approach, polinominal spline distrubuted lags, exogeneity tests, the wu-hausman test | Readings and problem set | |
| 5 | Estimation of Autoregressive models: Almon approach, polinominal spline distrubuted lags, exogeneity tests, the wu-hausman test | Readings and problem set | |
| 6 | Simultaneous equation models:specifation and identification in Simultaneous equation models | Readings and problem set | |
| 7 | Maximum likelihood (ML): likelihood ratio test, wald test, lagrange multiplier tests | Readings and problem set | |
| 8 | Mid-Term Exam | Problem Solving | |
| 9 | Maximum likelihood (ML): likelihood ratio test, wald test, lagrange multiplier tests | Readings and problem set | |
| 10 | Discrete choice models: Linear probability model, probit and logit models | Readings and problem set | |
| 11 | Limited dependent variables: truncating, censoring, and sample selection | Readings and problem set | |
| 12 | Tobit model, Heckman model | Readings and problem set | |
| 13 | Panel data analysis: general terms of panel data, advantages of panel data, pooled least squares | Readings and problem set | |
| 14 | panel data analysis fixed effects models and random effects models | Readings and problem set | |
| 15 | Time series modeling: ARMA processes, testing and estimation for stationarity, forecast | Readings and problem set | |
| 16 | Term Exams | Problem Solving | |
| 17 | Term Exams | Problem Solving |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 10 | 10 |
| Total Workload (Hour) | 86 | ||
| Total Workload / 25 (h) | 3,44 | ||
| ECTS | 3 ECTS | ||