Faculty of Economics

Applied econometrics

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Name of Lecturer(s)	Personal ID	Name
Course Unit Code	114-0380/01
Number of ECTS Credits Allocated	5 ECTS credits
Type of Course Unit *	Compulsory
Level of Course Unit *	Second Cycle
Year of Study *	First Year
Semester when the Course Unit is delivered	Summer Semester
Mode of Delivery	Face-to-face
Language of Instruction	Czech
Prerequisites and Co-Requisites	Course succeeds to compulsory courses of previous semester
	FIL03	Ing. Lenka Johnson Filipová, Ph.D.
	BAL112	doc. Ing. Jiří Balcar, Ph.D., MBA
	PYT005	doc. Ing. Mariola Pytliková, Ph.D.
	JAW127	doc. Ing. Jan Janků, Ph.D.
	BAD0012	Ing. Ondřej Badura, Ph.D.
Summary

Learning Outcomes of the Course Unit
The objective of this course is to apply econometric methods to real world problems. The emphasis is on perspective of professional users of econometrics and illustrate how empirical researchers think about and apply econometrics methods. The aim is to equip students with broad and rigorous tools that would allow them to (i) conduct an independent econometric analysis of problems they may encounter in their work and (ii) where suitable, draw operational and/or policy recommendations.
Course Contents
1. Introduction to economics and Stata, and its use for descriptive statistics. 2. Least squares method, linear regression and OLS estimator properties. 3. Credibility of estimation, hypothesis testing, measurement errors and feedback in the presence of stochastic variables. 4. Interpretation and comparison of models (including model selection criteria). 5. Basics of forecasting and simulation. 6. Heteroskedasticity and autocorrelation. 7. Principles of time series analysis and volatility (conditional and variance modeling). 8. Endogenity, estimation using instrumental variables. 9. Logit and probit models. 10. Multinomial models and models of ordered answers. 11. Count data (Poisson regression model, negative binomial model, general count regression), “duration” data. 12. Tobit models (censored variables), treatment effects. 13. Linear models of panel data: fixed and random effects. 14. Linear models of panel data: static and dynamic models, incomplete panels (/attrition), tests of non-stationarity and cointegration.
Recommended or Required Reading
Required Reading:
DE VAUS, David. Surveys in social research. 6th ed. London: Taylor & Francis Ltd., 2013. 400 p. ISBN 0415530180. DISMAN, Miroslav. Jak se vyrábí sociologická znalost. Praha: Karolinum, 2002. 374 s. ISBN: 9788024601397 JAROŠ, Richard a Pavla PAUKNEROVÁ, ed. Nejen kruhy: vizuální přístupy v zobrazování dat a informací. Praha: Vysoká škola uměleckoprůmyslová, 2017. ISBN 978-80-87989-06-7.
DE VAUS, David. Surveys in social research. 6th ed. London: Taylor & Francis Ltd., 2013. 400 p. ISBN 0415530180. DISMAN, Miroslav. Jak se vyrábí sociologická znalost. Praha: Karolinum, 2002. 374 s. ISBN: 9788024601397 JAROŠ, Richard a Pavla PAUKNEROVÁ, ed. Nejen kruhy: vizuální přístupy v zobrazování dat a informací. Praha: Vysoká škola uměleckoprůmyslová, 2017. ISBN 978-80-87989-06-7.
Recommended Reading:
HUŠEK, Roman. Aplikovaná ekonometrie - Teorie a praxe. Praha: VŠE, 2009. 346 s. ISBN 978-80-245-1623-3. NĚMEC, Daniel. Základy ekonometrie. Brno: Masarykova unverzita, 2009. 264 s. ŘEZÁNKOVÁ, Hana. Analýza dat z dotazníkových šetření. Praha: Professional Publishing, 2011. 224 s. ISBN 978-80-7431-062-1.
HUŠEK, Roman. Aplikovaná ekonometrie - Teorie a praxe. Praha: VŠE, 2009. 346 s. ISBN 978-80-245-1623-3. NĚMEC, Daniel. Základy ekonometrie. Brno: Masarykova unverzita, 2009. 264 s. ŘEZÁNKOVÁ, Hana. Analýza dat z dotazníkových šetření. Praha: Professional Publishing, 2011. 224 s. ISBN 978-80-7431-062-1.
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Task Title	Task Type		Maximum Number of Points (Act. for Subtasks)	Minimum Number of Points for Task Passing
Credit	Credit		100 (100)	51
Test	Written test		100	51