DXX_PMVP Praktikum z metodologie vědecké práce

Faculty of Economics and Administration
Spring 2016
Extent and Intensity
0/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
Dr. Alex Klein (lecturer), Mgr. Martin Guzi, Ph.D. (deputy)
Mgr. Martin Guzi, Ph.D. (assistant)
Guaranteed by
doc. PhDr. Růžena Lukášová, CSc.
Department of Public Economics – Faculty of Economics and Administration
Contact Person: Mgr. Jarmila Šveňhová
Supplier department: Department of Public Economics – Faculty of Economics and Administration
Timetable
Tue 12. 4. 9:20–12:50 S307, Wed 13. 4. 9:20–12:50 S310, Thu 14. 4. 9:20–12:50 P304
Prerequisites
The students should be familiar with basic statistics and econometrics
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 24 student(s).
Current registration and enrolment status: enrolled: 0/24, only registered: 0/24
fields of study / plans the course is directly associated with
Course objectives
This course introduces students to a range of research methods and sources available in modern economics and deals with practical issues of PhD research. Specifically, it discusses the issue of choosing well-focused research question, how to conduct a critical literature review to identify research frontiers, how to address research question with data and theory, and how interpret and write up the results. In addition, the course will discuss the issue of causality in economics by reviewing very recent advances in instrumental variable estimation techniques and introducing the concept of partial identification. This part of the course is designed to address wider audience, not only PhD students, and will discuss the issues of causality and examples of dealing with causality across variety of fields in economics.
Syllabus
  • Lectures 1-2: Identifying research frontiers: Critical literature review as the first step in conducting research Lectures 3-9: Causality in Economics: • recent advances in instrumental variable estimation techniques • partial identification in case of imperfect instruments • matching estimators, • natural experiments, • identification using second and higher moments. Lectures/Seminars 10-12: Research projects: first drafts and first feedback • students’ presentations aiming to provide feedback on their (i) research proposals, (ii) research papers, (iii) grant applications
Literature
    recommended literature
  • Murray, Michael P. "Avoiding invalid instruments and coping with weak instruments." The Journal of Economic Perspectives 20.4 (2006): 111-132.
  • Angrist, Joshua, and Alan B. Krueger. Instrumental variables and the search for identification: From supply and demand to natural experiments. No. w8456. National Bureau of Economic Research, 2001.
  • Dufour, Jean‐Marie. "Identification, weak instruments, and statistical inference in econometrics." Canadian Journal of Economics/Revue canadienne d'économique 36.4 (2003): 767-808.
Assessment methods
attendance at seminars + presentation of research proposal / research paper
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is taught each semester.
Information on the per-term frequency of the course: Předmět je vypisován, je-li v daném semestru k dispozici zahraniční lektor. Výuka předmětu proběhne, pokud se zapíše minimálně 5 studentů.
The course is also listed under the following terms Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016.
  • Enrolment Statistics (Spring 2016, recent)
  • Permalink: https://is.muni.cz/course/econ/spring2016/DXX_PMVP