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Last update: Mgr. Lenka Šlegerová (08.09.2021)
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Last update: SCHNELLEROVA (18.11.2019)
Prospective course syllabus: 1. Introduction - Identification strategies - Data and measurement issues 2. Limited dependent variable models - Linear probability models - Logit and Probit models 3. Count data and duration models - Censored and truncated models - Two-part models 4. Casual effect methods (introduction) - difference-in-differences estimation - instrumental variable estimation 5. Spatial models |
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Last update: Mgr. Lenka Šlegerová (13.09.2021)
Please switch to the English version. |
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Last update: PhDr. Petr Bednařík, Ph.D. (06.06.2020)
Main textbook for the course: - Wooldridge, J. M. (2016, 2013). Introductory Econometrics: A Modern Approach, Sixth or Fifth edition, Mason: Thompson South-Western. - Cameron, C. and Trivedi, P. K. (2005). Microeconometrics: Methods and Applications, New York: Cambridge University Press. - Cameron, C. and Trivedi, P. K. (2009). Microeconometrics Using Stata, College Station: Stata Press. Useful reference for health economics applications: Jones, A. M., Rice, N., Bago d'Uva, T. and S. Balia (2007). Applied Health Economics, London: Roudledge. Further references to academic papers with relevant health econometric applications will be provided during the course. |
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Last update: Mgr. Lenka Šlegerová (08.09.2021)
Please switch to the English version. |
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Last update: Mgr. Lenka Šlegerová (17.10.2023)
The course is held ONLINE. There are no classes on October 27 and November 17. Expected dates for STATA sessions: November 3, November 10, November 14, December 1, December 8 Prospective course syllabus: 1. Introduction - Identification strategies - Data and measurement issues 2. Limited dependent variable models - Linear probability models - Logit and Probit models 3. Count data and duration models - Censored and truncated models - Two-part models 4. Casual effect methods (introduction) - difference-in-differences estimation - instrumental variable estimation 5. Spatial models
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