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Econometrics I - JEB109

Title:	Econometrics I
Guaranteed by:	Institute of Economic Studies (23-IES)
Faculty:	Faculty of Social Sciences
Actual:	from 2024
Semester:	summer
E-Credits:	6
Examination process:	summer s.:
Hours per week, examination:	summer s.:2/2, Ex [HT]
Capacity:	120 / 104 (120)
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English
Teaching methods:	full-time
Note:	course can be enrolled in outside the study plan enabled for web enrollment priority enrollment if the course is part of the study plan

Guarantor:	PhDr. Jiří Kukačka, Ph.D.
Teacher(s):	PhDr. Jiří Kukačka, Ph.D. Attila Sarkany Mgr. Ivan Trubelík Ing. Kai Wang Mgr. Jan Žalman
Class:	Courses for incoming students
Pre-requisite :	JEB105
Is pre-requisite for:	JEB110

Examination dates SS schedule Noticeboard

Annotation -

An introductory course in econometrics focusing on cross-sectional data analysis within the Ordinary Least Squares framework.

Last update: Kukačka Jiří, PhDr., Ph.D. (13.01.2024)

Aim of the course -

Students will gain a comprehensive understanding of analyzing cross-sectional datasets using the OLS framework, constructing econometric models, and interpreting the results. This course will equip them with the necessary skills for future econometrics courses.

Last update: Kukačka Jiří, PhDr., Ph.D. (13.01.2024)

Literature -

Core textbook:
Wooldridge, J. M. (2012). Introductory Econometrics: A Modern Approach. Cengage Learning, 5th Ed., .pdf (6th Ed. from 2016 or 7th Ed. from 2018, e-book available, also possible).

Compare editions and pagination in Wooldridge_textbooks_contents.pdf.

Alternative (more advanced):
Baltagi, B. H. (2021). Econometrics. Springer, 6th Ed. (e-book or .pdf available).
Greene, W. H. (2018). Econometric Analysis. Pearson Education, 8th Ed. (e-book 7th Global Ed. available).
Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data. MIT Press, 2nd Ed. (e-book available).

Last update: Kukačka Jiří, PhDr., Ph.D. (12.02.2023)

Entry requirements -

Strongly suggested courses:

Data Analysis in R (if you are completely new to R, review at least the recorded introductory lectures on R basics, Data structures, Data input, and Basic data management)

Mathematics I + II

Last update: Kukačka Jiří, PhDr., Ph.D. (14.02.2023)

Registration requirements -

JEB105 Statistics (mandatory course)

IES students outgoing on Erasmus+ for the whole semester register for the seminar on Tuesday from 15:30.

Last update: Kukačka Jiří, PhDr., Ph.D. (28.02.2025)