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Course, academic year 2023/2024
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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 2023
Semester: summer
E-Credits: 6
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, Ex [HT]
Capacity: 130 / 130 (130)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
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: prof. PhDr. Ladislav Krištoufek, Ph.D.
Teacher(s): PhDr. Jiří Kukačka, Ph.D.
Mgr. Martina Lušková
Hieu Nguyen Thi Hoang, M.A.
Mgr. Margarita Pavlova
Dipl.-Ing. Mathieu Petit, B.Sc.
Attila Sarkany
Class: Courses for LLEP
Courses for incoming students
Pre-requisite : JEB105
Is pre-requisite for: JEB110
Annotation -
Last update: PhDr. Jiří Kukačka, Ph.D. (13.01.2024)
An introductory course in econometrics focusing on cross-sectional data analysis within the Ordinary Least Squares framework.
Aim of the course -
Last update: PhDr. Jiří Kukačka, Ph.D. (13.01.2024)

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.

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

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).

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

Strongly suggested courses:

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

Mathematics I + II

Registration requirements -
Last update: PhDr. Jiří Kukačka, Ph.D. (18.02.2024)

JEB105 Statistics (mandatory course)

Please get in touch only with Jiri Kukacka, not Ladislav Kristoufek, for any information regarding the organization of the course.

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

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