Module also offered within study programmes:
General information:
Name:
Introduction to applied econometrics
Course of study:
2017/2018
Code:
ZZIP-2-002-PR-s
Faculty of:
Management
Study level:
Second-cycle studies
Specialty:
Production Management
Field of study:
Management and Production Engineering
Semester:
0
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Responsible teacher:
Gurgul Henryk (gurgul@zarz.agh.edu.pl)
Academic teachers:
Zając Paweł (pzajac@zarz.agh.edu.pl)
Gurgul Henryk (gurgul@zarz.agh.edu.pl)
Module summary

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Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence
M_K001 Is able to work in a group focused at gaining knowledge and information ZIP2A_K04 Activity during classes
Skills
M_U001 Selects the optimal set of explanatory variables in the single-equation econometric model ZIP2A_U02 Examination,
Activity during classes
Knowledge
M_W001 Is familiar with the basic concepts of time series analysis ZIP2A_W04, ZIP2A_W11 Examination,
Activity during classes
M_W002 Knows the basic methods of estimation and tools required for verification of single-equation econometric models ZIP2A_W05, ZIP2A_W04 Examination,
Activity during classes
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Social competence
M_K001 Is able to work in a group focused at gaining knowledge and information + + - - - - - - - - -
Skills
M_U001 Selects the optimal set of explanatory variables in the single-equation econometric model + + - - - - - - - - -
Knowledge
M_W001 Is familiar with the basic concepts of time series analysis + + - - - - - - - - -
M_W002 Knows the basic methods of estimation and tools required for verification of single-equation econometric models + + - - - - - - - - -
Module content
Lectures:
Introduction to econometrics

Main goal of the course:

Acquirement of basic knowledge on econometric methods and their applications in quantitative analysis of economic processes as well as possession of skills of exploitation of chosen function of econometric software related to estimation and verification of linear econometric models.

Course Content:

1. Definition and subject of econometrics. Types of statistical regularities. Econometric model
2. Stages of econometric modelling
3. Estimation of structural parameters of econometric models – OLS
4. Verification of econometric models. Chosen challenges of building of econometric models
5. Autocorrelatiom
6. Heteroscedasticity
7. Nonlinear models – building and applications
8. Econometric forecasting – introduction
9. Time series analysis -introduction

Auditorium classes:
Intoduction to econometrics

1. Selection of variables in econometric model. Estimation of single-equation model.
2. Hellwig’s Method. Coefficient of determination.
3. Variables significance verification. Evaluation of the parameters estimation errors.
4. Statistical verification of LSM model.
5. Heteroscedasticity.
6. Autocorrelation.
7. Econometric forecasts. EX ANTE and EX POST prediction errors.
8. Introduction to time series.

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 135 h
Module ECTS credits 5 ECTS
Participation in lectures 30 h
Preparation for classes 40 h
Realization of independently performed tasks 35 h
Participation in auditorium classes 30 h
Additional information
Method of calculating the final grade:

Final grade:

Each student can be granted a satisfactory credit – when she/he is able to discuss problems related to statistical regularities, formulation of model hypothesis, estimation of structural parameters and verification of econometric models, as well as solve assignments related to this issues. The final mark is that from exam.

Prerequisites and additional requirements:

Requirements in the area of:

- knowledge: shows acquaintance of problems and methods of algebra, mathematical analysis, descriptive statistics, probability theory, mathematical statistics and basics of macroeconomics, microeconomics and finance

- skills: can perform basic mathematical operations, calculate chosen statistical measures, verify hypotheses and use basic function of Excel spreadsheet

- competences (attitude): can individually use bibliography as well as prepare information on a selected topic

Recommended literature and teaching resources:

1. Johnston J.: Econometric methods, McGraw-Hill International Edition, Economic series, 3rd Edition 1991.
2. Greene W.H.: Econometric Analysis, Prentice Hall, 5th Edition 2003.
3. Maddala G.S.: Introduction to Econometrics, 2nd ed., Macmillan 1992.
4. Wooldridge J.M.: Introductory Econometrics: A Modern Approach, Cengage Learning, 5th edition 2012.

Scientific publications of module course instructors related to the topic of the module:

1. Analiza zdarzeń na rynkach akcji. Wolters Kluwer 2012, wyd. II.

2.Modele input-output w warunkach niepełnej informacji, 1998, wyd. AGH.

Additional information:

Form and terms of examination:

Students are assessed by means of a test, which verifies of achievement of educational effects of skills (3 assignments) – exercises, and their group project, which verify achievement of educational effects of skills as well as effects in social competences – (during the test students are allowed to use statistical tables and self-prepared lecture notes).