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  • Applied Microeconomics
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Course Title Code Compulsory/Elective Laboratory + Practice ECTS
Applied Microeconomics İKT540 II. SEMESTER 3+0 6.0
Language of Instruction İngilizce
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. HAKAN ULUCAN
Mode of Delivery The mode of delivery of this course is Face to face
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List Amemiya, Takeshi. (1985). Advanced Econometrics. Cambridge, MA: Harvard University Press.Baltagi, B.H. (2001). Econometric Analysis of Panel Data, 2nd ed., Wiley.Blaug, M. 1992. The Methodology of Economics, 2nd ed., Cambridge: Cambridge University Press.Frankforth-Nachminas, C. and D. Nachmias. 1996. Research Methods in Social Sciences, 5th ed., London: St. Martin’s Press.Greene, William H. (2003). Econometric Analysis. Fifth ed. Prentice Hall.Gujarati, Damodar N. (2001), Temel Ekonometri, çevirenler Ümit Şenesen, Gülay Günlük Şenesen, 2. bs., İstanbul : Literatür Yayıncılık.Johnston, Jack and John Dinardo (1997). Econometric Methods. Fourth ed. Mc-Graw Hill.Kohler, H. 1994. Statistics for Business and Economics, 3rd ed., New York: Harper Collins College Publishers. Maddala, G.S. (1983). Limited-Dependent and Qualitative Variables in Econometrics. Cambridge.Maddala, G. S. (2001), Introduction to Econometrics, Third Edition, West Sussex: John Wiley & Sons Ltd.Wooldridge, J.M. (2000). Introductory Econometrics: A Modern Approach. South-Western.Wooldridge, J.M. (2002). Econometric Analysis of Cross-Section and Panel Data. MIT Press.Wikipedia: The Free Encyclopedia, http://en.wikipedia.org/wiki/Main_Page
Assessment methods and criteria 3 Midterm, 1 Final.
Work Placement N/A
Catalog Content Basic concepts; Introduction to STATA and basic commands; Two variable regression analysis: Estimation, hypothesis testing, interpretation of the model; Multiple regression analysis: Estimation, hypothesis testing and inference, restricted regression model, model selection; Business applications; Econometric modeling: Traditional view of econometric modeling, model specification errors, measurement errors, alternative econometric methodologies; Business applications; Limited dependent variables models: Linear probability models, Probit, Logit, Tobit; Business applications; Panel data regression models: Fixed and random effects, dynamic panel data modelling.

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