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Vyučující
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Obsah předmětu
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The course covers the following topics: - Randomized Controlled Trials - Difference-in-Differences - Instrumental Variables - Regression Discontinuity Design - 5 Matching - Standard error issues
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Studijní aktivity a metody výuky
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nespecifikováno
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Výstupy z učení
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The course deals with common quasi-experimental approaches for measuring causal effects in developing economics. The content focuses on the distinction between correlation and causality and provides students with a statistical toolkit which will allow them to plan and conduct their own independent research. Special attention will be paid to the specific assumptions necessary for each technique to measure causal effects and common threats to identification (such as selection bias). The course will also train students in R, an open-source programming language that is increasingly used for econometric analysis. Students will learn how to use quasi-experimental techniques in a practical manner by solving assignments in R, writing a referee report, and presenting their own quasi-experimental research idea.
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Předpoklady
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nespecifikováno
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Hodnoticí metody a kritéria
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nespecifikováno
written exam
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Doporučená literatura
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Deschenes, O., Meng, K. C. (2018). Quasi-experimental methods in environmental economics: Opportunities and challenges.. Handbook of Environmental Economics 4: 285?332.
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King, G. & Nielson, R. (2016). Why Propensity Scores Should not be used for Matching. Working Paper.
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Stevenson, B., Wolfers, J. (2020). Principles of Economics. Worth Publishers.
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