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IKT 441 - Applied Econometrics

Faculty of Business and Management Sciences · International Trade and Finance (English) · Undergraduate

ECTS: 5 T+P+L: 1+0+2 University Elective
Coordinator: Arş. Gör. Zehra Killik

Course Objective

In the course, in economics and econometrics; linear regression model, applications of simple and multiple regression techniques, data problems, model definition errors, parameter determination problem, nonlinear regression, simultaneous equation systems, limited dependence models, time series models, non-stationary series and autocorrelation, the use of panel data It will be described.

Course Content

In this course, linear regression model, to apply the simple and multiple regression methods, the problems with the data, spesification errors, the problems of parameter determination, non-linear regression, systems of simultaneous equations, the models with limited dependent variables, the models of time series, non stationary series and otocorelation, the use of panel data methods of with cross-country data will be covered.

Required Resources

Damodar N. Gujarati, Basic Econometrics, Literatür Publishing, 2003.

Jeffrey M. Wooldridge, Introductory Econometrics: A Modern Approach, Cengage Learning, 2008.

Ahmet Kılıçbay, Applied Econometrics, Filiz Bookstore, Istanbul.

A. Colin Cameron and Pravin K. Trivedi, Microeconometrics: Methods and Applications, Cambridge University Press, 2005.

Recommended Resources

Selahattin Güriş and Ebru Çağlayan, Econometrics: Fundamental Concepts, Der Publishing.

Peter J. Kennedy, A Guide to Econometrics, MIT Press, 1998.

Course Learning Outcomes

  1. Using computer softwares in econometric analysis.
  2. Evaluating the assumptions of the economic theory quantitatively.
  3. Making estimations and predictions in advanced level.
  4. Testing the accuracy and precision of the hypothesis tests, suggesting policy prescriptions and making directive interpretations.

Core Area Distribution

(34) Business and Administration%50 (46) Mathematics and Statistics%50

Teaching Methods

ExpressionQuestion-AnswerSelf studyProblem Solving

Assessment & Evaluation

Performance Assignment ( Lab / Workshop / Field Work / Seminar / Presentation / Completion Study / ThesisTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)16348
Out of Class Study Period16232
Midterm11515
Quiz2510
Assignment000
Practice000
Final12020

Course Schedule

WeekSubjectPreparation
1Course IntroductionHandouts
2Introduction to Econometrics SoftwareHandouts
3Bivariate RegressionHandouts
4Linear Regression EquationHandouts
5Sample selection, non spheric errors, model misspecificationsHandouts
6Assumptions of Least Squares Estimation MethodHandouts
7Non-Linear RegressionHandouts
8Ara SınavAra Sınav
9Simultaneous equation systemsHandouts
10Logit and Probit regression modelsHandouts
11Time series : stationarityHandouts
12Time Series: CointegrationHandouts
13Non-stationary series and autocorrelationHandouts
14Panel Data (without cointegration)Handout
15Panel Stationarity and CointegrationHandouts
16Final SınavıFinal Sınavı