Course: Quantitative Methods

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Course title Quantitative Methods
Course code MRS/WG4
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 9
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Brun Jean-Francois
  • Šafaříková Simona, Mgr. Ph.D.
  • Combes Motel Pascale, prof.
Course content
The module Quantitative Methods consists of three courses. Econometrics covers introductory econometrics, it focuses on core estimation techniques (OLS, instrumental variables estimators) and on the main econometric tests (normality, homoscedasticity, weak instruments etc.). Survey Techniques provides students with both theoretical underpinnings and practical knowledge to build their own sampling methods in order to implement surveys in developing countries. GIS course aims to analyze and present geo-referenced data which is increasingly used in the assessment of development policies. The module is taught within the EMJMD IDS (Glodep, http://glodep.eu/) program at University Clermont Auvergne (Clermont-Ferrand, France).

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Activating (Simulations, Games, Dramatization)
Learning outcomes
The course provides an overview of econometrics, survey techniques, and GIS.
Students have knowledge and skills to collect and analyze development data.
Prerequisites
-

Assessment methods and criteria
Written exam

Written exam, attendace
Recommended literature
  • Carter Hill R., Griffith, W. E. and G. C. Lim. (2011). Principles of econometrics. 4th Edition. Wiley.
  • Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. Cengage learning.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Global Development Policy (2021) Category: Social sciences - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Development Studies and Foresight - specialization in Foresight (2020) Category: Social sciences - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Development Studies and Foresight - specialization in International Development Studies (2020) Category: Social sciences - Recommended year of study:-, Recommended semester: Summer