INTT 103 Economic Statistics and Indicators Prof Dr

INTT 103 Economic Statistics and Indicators Prof. Dr. Dilek Temiz Dinç dilektemiz@cankaya. edu. tr

Description of this course… This course is to provide students with the necessary toolkit (araç) to analyze and extract information from economic indicators and statistics. There are huge amounts of numerical data in economics such as inflation, growth, interest rates and so on. These data must be analyzed in order to extract the necessary information to guide decisions. We will concentrate on economic indicators to include fiscal, monetary and trade (i. e, the balance of payment accounts, exchanges rates etc. ) indicators in this course.

This Course Gives What to the Students? 1. Some basic information about classification of the statistical variables and statistical methods 2. Calculating and using descriptive statistics in economics and business 3. Using SPSS and EViews in calculating descriptive statistics 4. Using SPSS and EViews to draw statistical graphs 5. How to use or calculate ındex numbers in economical data base 6. How to use regression analysis in economics and business sciences by using SPSS and EViews 7. How to use correlation analysis in economics and business sciences by SPSS and EViews

The main objectives of this course are 1. Understanding of the main concepts, indicators and statistics employed within the field of economics. 2. Ability to a. Understand interpret economic information presented in textual, numerical or graphical form b. Select and apply economic concepts and principles to explain and analyze contemporary events at the micro and macro levels c. Make interpretations and valid inferences from information presented and evaluate the reliability of information given d. Organize and communicate economic ideas and arguments in a clear, logical and appropriate form.

REFERENCE BOOKS: • FLOYD J. E. , 2010, Statistics for economists: A beginning, University of Toronto. Available at: https: // www. economics. utoronto. ca/jfloyd/stats/ecs 10. pdf. • IBM SPSS Statistics 23 Brief Guide. • EViews 10 (or 9) User’s Guide. Available at: http: //www. eviews. com/helpintro. html#page/content%2 Fhelpintro. html%23 • Malhotra, N. , Nunan D and Birks, D. F. , 2017, Marketing Research an Applied Approach. Fifth Edition, Pearson. • Nakip, M. , 2013, Pazarlamada Araştırma Teknikleri. Seçkin Yayın Evi, Üçüncü Baskı. • Lind, D. , Marchal W. And Wathen, S. , 2019, Basic Statistics for Business and Economics, 9 th Edition, Mc. Graw Hill Higher Education.

I strongly recommend to all students to read often several papers from The New York Times, Washington Post, The Financial Times, Economist etc. We will spend a few moments each class period discussing the major topics of the day. DATA SOURCES: http: //www. sbb. gov. tr/ Başkanlığı) http: //www. tcmb. gov. tr http: //www. tuik. gov. tr https: //en. hmb. gov. tr/ (Türkiye Cumhuriyeti Cumhurbaşkanlığı Strateji ve Bütçe (Türkiye Cumhuriyet Merkez Bankası) (Türkiye İstatistik Kurumu) (T. C. Hazine ve Maliye Bakanlığı)

GRADING POLICY: Mid-Term : 30% Final-Exam : 40% Quizzes and Homework: 10% (Short essay, solving statistical problems, short research paper…) Term Project : 20% You can get the necessary information about term project from the Research Assistant Zehra Burçin Kanık. • Contact: zbkanik@cankaya. edu. tr / Room: K 205

About Term Project The Term Project is a study that is helpful for freshman students to learn scientific research methods practically. Students should choose one of the topics that are important for their majors. By this way, they can improve their presentation and speech behind audience skills in addition to research skills. The projects can be Power. Point, brochure or poster in format. The presentations will occur at last 1 week of the fall semester. Students should deliver both hard copies and soft copies what they prepare for the instructor when they present in the class. Also, report that is prepared in report format must be delivered. (%10 for presentation, %10 for report, total %20) * Depending on the pandemic, presentations will be made on webonline or zoom. * Depending on the pandemic, reports and presentations can only be collected by email.

Course Outline Week Topic(s) 1 Introduction 2 Secondary data collection 3 Entering, Classifying and Comparing Data 4 Range, Width, min-max Values and Graphs 5 Graphs and Slopes 6 Using Descriptive Statistics in Business and Economics 7 Mid-term Examination 8 Variations 9 Index Numbers 10 Index Numbers (Cont. ) 11 Linear Regression 12 Linear Regression (Cont. ) 13 The Balance of Payments/The Foreign Exchange Market 14 Presentations