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ISTANBUL AYDIN UNIVERSITY
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Statistics
CLASS
1
STATISTICS-II
LINEAR ALGEBRA
ENGLISH-II
TURKISH LANGUAGE-II
ATATÜRK'S PRINCIPLES AND REVOLUTION HISTORY-II
CLASS
2
ANALYSIS-IV
ALGORITHM ANALYSIS
MATHEMATICS STATISTICS-II
SURVEY ANALYSIS
REGRESSION ANALYSIS
FINANCIAL MATHEMATICS
CLASS
3
STATISTICAL SOFTWARE
ANALYSIS OF VARIANCE
STOCHASTIC PROCESSES
LANGUAGE AND SOCIETY
LABOUR LAW
DECISION THEORY AND RISK ANALYSIS
ECONOMETRICS
WORK PLACEMENT-II
CRYPTOLOGY
CLASS
4
CYBER PSYCHOLOGY
WOMEN AND EXERCISE
CONSUMER LAW
EUROPEAN PALACE GARDENS
NON-PARAMETRIC STATISTICS
INTERPERSONAL COMMUNICATION
DESIGN FOR EVERYBODY
PHOTOGRAPHIC INTERPRETATION
GENERAL ACCOUNTING
MULTIVARIATE STATISTICS-II
STRATEGIC COMMUNICATION AND SOCIAL NETWORKS
TIME SERIES
ADVANCED STATISTICS PROJECTS-II
SOCIAL MEDIA,ADVERTISING AND BRAND
DEMOGRAPHY
ECONOMIC SOCIOLOGY
ANNOUNCING BROADCAST NEWS AND DICTION
Lesson plan
/ ECONOMETRICS
Course Information
Purpose and Content
Weekly Course Subjects
Resources
Lesson Information
Course Credit
3.0
Course ECTS Credit
3.0
Teaching Language of Instruction
Türkçe
Level of Course
Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Compulsory
Mode of Delivery
Face-to-face
Does the course require compulsory or optional work experience?
Z
Course Coordinator
Instructor (s)
Course Assistant
Purpose and Content
The aim of the course
Econometrics, economic relations in a way to estimate the coefficients of the closest to the truth. Income and price elasticities of economic theory and practice, such as the marginal propensity of consumption trends, as close to a factor to predict the values do not come true. Ensure the implementation of statistical and mathematical knowledge of students in this area.
Course Content
Course starts with two multivariate regression models are discussed later multivariate models. Changing the basic problems of econometrics, such as variance and multiple correlation processed. Probit, logit and tobit models as the dependent variable is two-valued processed.
Learning Outcomes
Has theoretical knowledge in the field of statistics.
Has the ability to use the theoretical resources required for statistics
Has the ability to use the theoretical resources required for statistics
To be able to use the necessary theoretical content resources for statistics
Defines the studies related to statistics independently and with the partners
Describe the current problems with statistical methods
Defines the ability of abstract and analytical thinking
Comprehend the knowledge of computer software and programming technique to be able to apply the science of statistics effectively.
Analyze the theoretical knowledge in probability and statistics
Evaluate different databases as required
Evaluates the outputs of applied questionnaires
Applies the concepts and thoughts in the field with scientific methods
Arrange the data related to the field
Solve the identified statistical problems
Prepares surveys
Develops solutions based on identified statistical problems, evidence and research
Contributes to the professional development of the employees under their management
Define new topics related to statistics
Give lectures and seminars about statistics and probability
Determines the needs for learning
Develops original attitudes towards lifelong learning by guiding learning processes related to learning
He/She organizes projects and activities for the social environment in which he/she lives with an awareness of social responsibility
Students will be able to communicate their solutions to problems related to statistics in written and oral forms
Supports suggestions for solutions and thoughts with quantative and quantative data
Follow developments in the field by using a foreign language
Uses computer software and information-communication-network technologies at the level required by the science of statistics
Students will have social, scientific and ethical values in the publication of the data related to the fields of science
Quality management and process, environmental protection, occupational health and safety issues has sufficient awareness
Gain social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the fields of science
Has knowledge about the legal consequences of statistical applications
Weekly Course Subjects
1
Econometrics is based on economic models
2
Sectoral models or partial models
3
Stages followed an econometric study
4
Single-equation econometric models
5
Population and sample regression equations
6
Simple two-variable linear regression model estimated by the least squares method
7
Correlation Coefficient
8
Multiple regression analysis
9
Multiple regression analysis of the estimated equation
10
Multiple regression analysis and comparison of simple regression
11
Multiple regression analysis, statistical induction.
12
Other tests applied to single equation econometric models
13
Analysis of the assumptions of the linear regression model
14
Final exam
Resources
1- Akkaya, Ş., Pazarlıoğlu Vedat M., 2000, Ekonometri I, İzmir.
2- ERTEK, T., 1973, Ekonometriye Giriş, ODTÜ yayını, Ankara
3- BRIDGE, J. L., Applied Econometrics, North Holland Pub, Company, Amsterdam, 1971
