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Bloopers: How (Mostly) Smart People Get Causal Inference WrongBernard S. BlackNorthwestern University - School of Law; Northwestern University - Kellogg School of Management; European Corporate Governance Institute (ECGI) August 22, 2010 Abstract: In these slides, prepared for a workshop on Research Design for Causal Inference, I review examples, drawn where possible from well known, well cited articles, often by top authors, where the authors got causal inference wrong. The examples illustrate what not to do and also what to do in research design, if the goal is credible estimates of causal effects.
Number of Pages in PDF File: 50 Keywords: econometrics, causal inference working papers seriesDate posted: August 23, 2010Suggested CitationContact Information
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