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Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)
This is a practical course in econometrics focused on econometric tools for cross-sectional and panel data that may be useful for policy analysis (for example, if your goal is to work for international organizations such as the OECD), firm-level data analysis (for example, we will learn how to analyze employee performance or what can be learned from consumer bahaviour), and research. We will dir in week 2 (Thursday, February 27) |
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Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)
COURSE RUNS IN TEAMS: https://teams.microsoft.com/l/team/19%3acbd96a9886e34cd9a5aa36929c1eed57%40thread.tacv2/conversations?groupId=677ffd4f-0449-4d72-82e7-5abc3b881bbd&tenantId=e09276da-f934-4086-bf08-8816a20414a2
To pass the course students need to: • Critically summarize one research topic (30 points)
detailed setup will be announced on March 12, with deadline on March 26
generally, the task will be to write a review of a specific research paper
• Complete a home assignment (30 points) detailed setup will be announced on April 9, with the deadline of April 23 generally, the task will be to replicate an empirical research using available data • Complete an Econometric Game - a project-based final exam (40 points)
this is a take-home exam designed in a form of a short research preject. The setup will be anounced on May 6 and students will present the outcome of their analysis on May 13. Final projects in written form will be due on May 21, 2021. |
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Poslední úprava: PhDr. Petr Bednařík, Ph.D. (06.06.2020)
Cameron, Colin A. and Trivedi, Pravin K. (2005): Microeconometrics: methods and applications, Cambridge University Press Cameron, Colin A. and Trivedi, Pravin K. (2009): Microeconometrics Using Stata, Stata Press Manski, Charles (1995) : Identification Problems in Social Sciences, Harvard University Press, Cambridge, MA Wooldridge, Jeffrey M. (2002): Econometric analysis of Cross-section and Panel Data, MIT Press |
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Poslední úprava: Mgr. Barbara Pertold-Gebicka, M.A., Ph.D. (08.09.2021)
Lecture 1 (Tuesday, February 16, 12:30) - Introduction to the course, example of an empirical analysis inspired by one research paper Lecture 5 (Tuesday, March 16, 12:30) - Difference-in-differences continued - triple difference, robustness Seminar 4 (Thursday, April 8, 15:30) - instrumental variable estimation in Stata, checking quality of instruments Lecture 9 (Tuesday, April 13, 12:30) - Regression discontinuity - sharp Seminar 5 (Thursday, April 21, 15:30) - applying regression discontinuity in practice - randomization checks, method choice, etc. Seminar 6 (Thursday, May 6, 15:30) – matching models in practice |