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Econometrics

General data

Course ID: 2600-DSFRw2EKON
Erasmus code / ISCED: 11.9 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0619) Information and Communication Technologies (ICTs), not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Econometrics
Name in Polish: Ekonometria
Organizational unit: Faculty of Management
Course groups: (in Polish) Przedmioty obowiązkowe dla 2 roku DSZFR dzienne sem. letni
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

obligatory courses

Prerequisites (description):

(in Polish) Opanowanie w stopniu podstawowym metod opisu statystycznego i metod wnioskowania statystycznego

Short description:

The aim of the course is to familiarize students with the construction of econometric models and their use for the analysis of economic and financial quantities.

The presented empirical examples will require the use of information and communication tools, i.e. GRETL (for those interested it is possible to use other econometric packages)

Full description:

. The subject of econometrics. Economic theory and the econometric model.

2. Classical Least Squares estimation (LS) - fitting the linear model to the observation. Model with one explaining variable and many explaining variables.

3. Measures of model fit and interpretation of model parameters - linear relationship (including for transformed variables). Analysis of variance.

4. Statistical inference in LS. Assumptions about the distribution of the random error. The t and F statistical tests.

5. Methods of selecting explanatory variables for the econometric model. Initial analysis of statistical data. Binary variables in the model. Outliers - detection of their presence in the data set and methods of proceeding.

6. LS: assumptions, properties of the LS estimator, efficiency of the LS estimator: Gauss-Markov theorem.

7. Diagnostic tests - testing of the functional form, normality of distribution, stability of parameters, homoscedasticity, autocorrelation.

8. Basic problems of estimation using LS - omitted variables, insignificant variables, collinearity, simultaneity.

9. Nonlinear models. Methods of selecting the analytical form of the model. Methods of estimating nonlinear models.

10. Models of qualitative variables: logit, probit, LMP (estimation, verification and prediction)

Bibliography:

Primary:

Borkowski B., Dudek H., Szczesny W., Ekonometria, wybrane zagadnienia. PWE, Warszawa 2003 i dalsze wydania.

Kufel T. Ekonometria Rozwiązywanie problemów z wykorzystaniem programu GRETL, PWN, Warszawa, wyd. 3, 2020.

Lipiec-Zajchowska M. Wspomaganie procesów decyzyjnych. Tom II. Ekonometria Beck 2003.

Complementary:

Gajda J., Ekonometria praktyczna, Absolwent, Łódź 1996.

Gruszczyński M. i In., Ekonometria i badania operacyjne, PWN, Warszawa, 2009.

Turyna B., Statystyka dla ekonomistów, Difin, Warszawa, 2011.

Greene W.H. Econometric Analysis, Prentice-Hall, 2006 (and next issues)

Learning outcomes:

K_W01

He/she knows and understands to a greater extent the research methodology and terminology in the field of management and quality science as well as in supplementary disciplines (economics and finance, legal sciences).

K_W02

He/she knows and understands in-depth the principles, procedures and practices relating to the financial activities of various types of organizations and uses management theory and complementary disciplines (economics and finance, legal sciences) to recognize, diagnose and solve problems related to financial management in organizations, accounting, management of institutions financial and strategies of financial institutions

K_W03

He/she knows and understands at an advanced level economic theories and models regarding the functioning of organizations and the entire economy

K_W05

He/she knows and understands technological, social, political, legal, economic and ecological processes and phenomena and their impact on financial decisions in organizations, the functioning of the organization and the entire economy, including the principles of protection of industrial property and copyright.

K_U01

He/she can use the discipline theory of management and quality science and complementary sciences (economics and finance, legal sciences) to identify, diagnose and solve complex and atypical problems related to key functions in the organization and their integration into the organisation's strategy, using the correct selection of sources and adapting existing or developing new methods.

K_U02

He/she is able to correctly interpret technological, social, political, legal, economic and ecological processes and phenomena and their impact on financial decisions in organizations, the functioning of the organization and the entire economy, using the appropriate selection of sources.

K_U03

He/she is able to independently and as a team prepare analyzes, diagnoses and reports on complex and unusual problems related to the functioning of the organization, sector and the entire economy, and to present them communicatively, also in English - using advanced information and communication tools

K_U05

He/she is able to plan and organize own and team work.

K_U06

He/she has the ability to self-educate and improve what has been gained qualification and support others in this regard.

K_K01

He/she is ready to assess and critically approach situations and phenomena related to financial management in organizations, accounting, management of financial institutions and strategists of financial institutions.

Assessment methods and assessment criteria:

Final project

Points / grade

51-60 / 3

61-70 / 3+

71-80 / 4

81-90 / 4+

91-100 / 5

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Coordinators: Beata Pułaska-Turyna
Group instructors: Arkadiusz Manikowski
Students list: (inaccessible to you)
Examination: Course - Grading
Classes - Grading
Course descriptions are protected by copyright.
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