DXX_PMVP Praktikum z metodologie vědecké práce

Faculty of Economics and Administration
Autumn 2016
Extent and Intensity
0/0. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
Dr. Michiel S. de Vries (lecturer)
Guaranteed by
doc. PhDr. Růžena Lukášová, CSc.
Department of Public Economics – Faculty of Economics and Administration
Contact Person: Mgr. Lucie Přikrylová
Supplier department: Department of Public Economics – Faculty of Economics and Administration
Prerequisites
DXH_MESW Methodology of scientific work || DXH_MEVP Methodology of science || DXV_FMEV Philosophy of Science
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.
fields of study / plans the course is directly associated with
there are 22 fields of study the course is directly associated with, display
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.
Language of instruction
Czech
Further comments (probably available only in Czech)
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.
The course is taught: in blocks.
Information about innovation of course.
This course has been innovated under the project "Inovace studia ekonomických disciplín v souladu s požadavky znalostní ekonomiky (CZ.1.07/2.2.00/28.0227)" which is cofinanced by the European Social Fond and the national budget of the Czech Republic.

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The course is also listed under the following terms Autumn 2013, Autumn 2014, Autumn 2015, Spring 2016.
  • Enrolment Statistics (recent)
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