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Lecturer(s)
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Harmáček Jaromír, doc. Ing. Mgr. Ph.D.
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Course content
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Content 1. Regression analysis of cross-sectional data: repetition and additional topics 2. Basic methods of time series regression analysis 3. Basic methods of panel data regression analysis
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
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Learning outcomes
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The aim of the course is to deepen and broaden students' practical skills in the application of quantitative research methods in development and environmental studies. The course focuses primarily on the practical application of regression analyses with cross-sectional data, panel data and time series using the statistical software Stata.
Practical use of regression analyses with cross-sectional data, panel data and time series in Stata.
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Prerequisites
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Students should know the basics of applied statistics.
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Assessment methods and criteria
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Written exam, Student performance, Seminar Work
attendance, assignments, seminar paper, written test
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Recommended literature
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Becketti, S. (2013). Introduction to Time Series Using Stata. Stata Press.
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Hill, R. C., Griffiths, W. E., Lim, G. C. (2011). Principles of Econometrics, 4th Edition.. Wiley: Danvers, MA.
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Christopher Dougherty. (2011). Introduction to Econometrics. New York.
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Kohler, U. Kreuter, F. (2012). Data Analysis Using Stata. 3rd edition. Stata Press.
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Wooldridge, J. (2008). Introductory Econometrics: A Modern Approach. South-Western College Pub.
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Wooldridge, J. M. (2010). Econometric Analysis of Cross-Section and Panel Data. MIT Press.
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