This course is about philosophical debates concerning social sciences and particularly the field of management and organizations, such as positivism, conventionalism, interpretativism, postmodernism, critical studies, and critical realism. The course introduces these schools of thought, their philosophical foundations, core arguments, and methodological preferences. The course also introduces main research designs used for different research purposes and methodologies.
This course focuses on the process involved in planning, organizing, carrying out and documenting qualitative research in relation to business studies. It involves nature and design of qualitative research together with its philosophical assumptions, five different qualitative research traditions, formulating research problems and choosing appropriate data collection and analysis methods. It also includes various data collection and analysis methods and techniques such as interviews, participant and non-participant-observation, ethnographical methods, visual data analysis, archival and historiographical analysis, content and discourses analysis, and case studies. The course provides basic readings relevant to these topics, and empirical studies in management and organization field using these qualitative methods.
The focus is on quantitative methods for data description and analysis, covering univariate, bivariate and an introduction to multivariate analysis.
Providing students with the opportunity to conduct a literature review, formulate research questions, design a research, collect and analyze data, perform sophisticated data analysis and discuss research results
Providing students with the opportunity to conduct a scientific research in their major field. All academic work undertaken at Izmir University of Economics is subject to the “Universities’ Academic Honesty Codes and Regulations”. For details, please see: http://isl.ieu.edu.tr/en/akademik-durustluk
Students will develop course preparation, delivery, and evaluation skills.
Compulsary courses in the Business Administration Doctoral Program and all the doctoral-level subjects related to the elective courses that the student chose.
Providing students with knowledge in determining dissertation and its research design.
BA 698 Independent Study
BA 634 Applied Regression Analysis
ECON 601 Microeconomic Theory I
The course starts with individual agent’s problem focusing on rational choice, demand, consumer surplus followed by decision under uncertainty. We then study social decision, focusing on Arrow’s impossibility theorem. The course will continue with detailed examination of general equilibrium models, asset markets and welfare analysis.
ECON 603 Macroeconomic Theory I
The course begins by introducing to students the oneperiod general equilibrium models. Next, twoperiod partial and general equilibrium macroeconomic modeling is developed. Finally, deterministic dynamic general equilibrium modeling is studied through reviewing economic growth literature. In that scope, difference equations, differential equations and optimal control theory are covered in the course at sufficient detail.
ECON 605 Statistics
This course overviews various statistical techniques including distribution theory and the properties of various distributions. Statistical inference with normally distributed variables as well as multivariate normal distribution and related distributions will be covered. Additional topics include, sampling theory, principle component analysis, statistical inference from data with binomial and Poisson distributions, and properties of large and small samples.
ECON 606 Econometrics
This course begins with the traditional econometric methods of matrix regression and general regression theory as well as the traditional understanding of econometric modeling. Additional topics include linear regression analysis, the least squares method, the ML estimator, univariate time series model, autoregressive moving average (ARIMA) modeling, BoxJenkins hashing, deterministic and stochastic trends, differential equations, nonstationary, seasonality, volatility, trends and transformations, multiequation timeseries models, cointegration and errorcorrection models, Logit, Probit and Tobit models, system models, and SUR, VAR, and panel data models.
STAT 602 Probability and Statistics for Business
Confidence interval estimation: one and two populations, Hypothesis Tests of single and double populations, Simple and multiple regression analysis, Nonparametric statistics