MVZ014 Research Methods in Political Science I

Faculty of Social Studies
Autumn 2017
Extent and Intensity
1/1/0. 2 credit(s). Recommended Type of Completion: z (credit). Other types of completion: zk (examination).
Teacher(s)
M.A. et M.A. Constantin Manuel Bosancianu (lecturer)
Mgr. Miroslav Nemčok, Ph.D. (assistant)
doc. Mgr. Petr Ocelík, Ph.D. (assistant)
Guaranteed by
prof. PhDr. Vít Hloušek, Ph.D.
Department of International Relations and European Studies – Faculty of Social Studies
Contact Person: doc. Mgr. Petr Ocelík, Ph.D.
Supplier department: Department of International Relations and European Studies – Faculty of Social Studies
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 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20
fields of study / plans the course is directly associated with
Course objectives
This intensive 3-day workshop will expand the standard OLS toolbox that participants are accustomed to using. The expansion ventures into territory where OLS estimation produces biased or inefficient results due to the violation of one or more of the standard regression assumptions. Given the relative simplicity, speed, elegance, and robustness of OLS over more complex estimation procedures, this course tries to, therefore “save” the least squares framework.
Learning outcomes
The participants will learn how to address selected violations of the regression analysis assumptions and use robust regression techniques.
Syllabus
  • Regression assumptions and where they break down
  • Addressing heteroskedasticity with cluster-corrected SEs and Weighted Least Squares (WLS)
  • Modeling effect heterogeneity: interactions and fixed-effects
  • Non-linear regression: polynomials and splines
  • Robust regression techniques (Mestimation, bounded-influence regression, quantile regression)
  • Course information will be updated
Literature
  • FOX, John. Applied regression analysis and generalized linear models. Third edition. Los Angeles: Sage, 2016, xxiv, 791. ISBN 9781452205663. info
  • WOOLDRIDGE, Jeffrey M. Introductory econometrics : a modern approach. Sixth edition. Boston: Cengage Learning, 2016, xxi, 789. ISBN 9781305270107. info
  • Modeling and interpreting interactive hypotheses in regression analysis. Edited by Cindy D. Kam - Robert J. Franzese. Ann Arbor: University of Michigan Press, 2007, 153 p. ISBN 0472069691. info
Teaching methods
lectures, workshops
Assessment methods
workshop participation
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 annually.
The course is taught: in blocks.
The course is also listed under the following terms Autumn 2018.
  • Enrolment Statistics (Autumn 2017, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2017/MVZ014