157-0588/01 – Introduction to Econometrics (INECON)
Gurantor department | Department of Systems Engineering | Credits | 5 |
Subject guarantor | prof. Ing. Jana Hančlová, CSc. | Subject version guarantor | prof. Ing. Jana Hančlová, CSc. |
Study level | undergraduate or graduate | | |
| | Study language | English |
Year of introduction | 2012/2013 | Year of cancellation | 2014/2015 |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
The goal is to:
- be able to describe and apply the process of analyzing of economic time series,
- understand the process of modeling the behavior of economic system based on regression analysis,
- select and use appropriate econometrics methodology - the formulation, estimation, prediction and verification of modeled systems,
- explain the context of the theoretical behavior of economic systems modeled with empirical results and make appropriate modification of your model,
- use the estimated regression models for forecasting.
Teaching methods
Lectures
Individual consultations
Tutorials
Project work
Summary
The aim of the course is to understand and master the process of econometric analysis of economic behavior of individual entities (eg companies) using cross-sectional resp. panel econometric modeling.
Compulsory literature:
Recommended literature:
1. KOOP, Gary, ed. Bayesian Econometric Methods (Econometric Exercises). Cambridge University Press, 2019. 376 s. ISBN-13: 978-1108437493.
2. HEISS, Florian. Using R for Introductory Econometrics. CreateSpace Independent Publishing Platform, 2020, 378 s. ISBN-13: 978-1523285136.
3. HEISS, Florian. Using Python for Introductory Econometrics. CreateSpace Independent Publishing Platform, 2020. 428 s. ISBN-13: 979-8648436763.
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
- Elaboration and defense of project with respect to the required structure.
- Inserting of this project into the LMS and obtaining a simple majority of the number of points.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
The goal is to:
- be able to describe and apply the process of analyzing of economic time series,
- understand the process of modelling the behaviour of economic system based on regression analysis,
- select and use appropriate econometrics methodology - the formulation, estimation, prediction and verification of modelled systems,
- explain the context of the theoretical behaviour of economic systems modelled with empirical results and make appropriate modification of your model,
- use the estimated regression models for forecasting.
1. Time series analysis (the basic characteristics, graphical time series analysis, time series transformation, decomposition of time series)
2. Linear regression models (model formulation, estimation, specification, assumptions, OLS methods)
3. Verification of the estimated regression model (statistical verification, autocorrelation, heteroscedasticity, multicollinearity, economic verification).
4. Forecasting (prediction typology, point and interval prediction, prediction of ex-post and ex ante, forecasting accuracy rate).
5. Testing of residual normality (graphical tests, sophisticated tests).
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.