Econometrics I - JEB109

• Title: Econometrics I
• Guaranteed by: Institute of Economic Studies (23-IES)
• Faculty: Faculty of Social Sciences
• Actual: from 2025
• Semester: summer
• E-Credits: 6
• Examination process: summer s.:
• Hours per week, examination: summer s.:2/2, Ex [HT]
• Capacity: 160 / 160 (160)
• 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: doc. PhDr. Jiří Kukačka, Ph.D.
• Teacher(s): Mgr. Tomáš Karhánek; Mgr. Matěj Kořínek, MSc.; doc. PhDr. Jiří Kukačka, Ph.D.; Thi Hoang Hieu Nguyen, M.A.; Dipl.-Ing. Mathieu Petit, B.Sc.; Mgr. Ivan Trubelík
• Class: Courses for incoming students
• Pre-requisite : JEB105
• Is pre-requisite for: JEB110

Annotation

English

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

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

Aim of the course

English

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, doc. PhDr., Ph.D. (13.01.2024)

Literature

English

Core textbook:
   Wooldridge, J. M. (2012). Introductory Econometrics: A Modern Approach. Cengage Learning, 5th Ed., .pdf (6th Ed. from 2016, 7th Ed. from 2018 [e-book], or 8th Ed. from 2025 [e-book] also possible).

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

Last update: Kukačka Jiří, doc. PhDr., Ph.D. (19.01.2026)

Entry requirements

English

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)

Matematika I, II, III, or Mathematics I, II

Last update: Kukačka Jiří, doc. PhDr., Ph.D. (06.02.2026)

Registration requirements

English

Pre-requisite: JEB105 Statistics (compulsory course)

IES students outgoing on Erasmus+ for the whole semester should register for the seminar on Tuesday from 12:30.

If the course reaches its maximum capacity, the course lecturers may deregister students for whom the course is not compulsory.

Last update: Kukačka Jiří, doc. PhDr., Ph.D. (02.02.2026)