Causal mediation analysis in instrumental-variables regressions
Author:
Affiliation:
1. UCLA Anderson School of Management, Los Angeles, CA,
2. University of Pittsburgh, Pittsburgh, PA,
3. University of Toronto, Toronto, Canada,
Abstract
Publisher
SAGE Publications
Subject
Mathematics (miscellaneous)
Link
http://journals.sagepub.com/doi/pdf/10.1177/1536867X20953572
Reference11 articles.
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2. Becker S. O., Woessmann L. 2009. Was Weber wrong? A human capital theory of Protestant economic history. Quarterly Journal of Economics 124: 531–596. https://doi.org/10.1162/qjec.2009.124.2.531.
3. Bound J., Jaeger D. A., Baker R. M. 1995. Problems with instrumental variables estimation when the correlation between the instruments and the endogeneous explanatory variable is weak. Journal of the American Statistical Association 90: 443–450. https://doi.org/10.2307/2291055.
4. Dippel C., Gold R., Heblich S., Pinto R. 2020. Mediation analysis in IV settings with a single instrument. Unpublished manuscript.
5. Frölich M., Huber M. 2017. Direct and indirect treatment effects—causal chains and mediation analysis with instrumental variables. Journal of the Royal Statistical Society, Series B 79: 1645–1666. https://doi.org/10.1111/rssb.12232.
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