IDENTIFYING CAUSAL MECHANISMS (PRIMARILY) BASED ON INVERSE PROBABILITY WEIGHTING
By Martin Huber. 2014
162 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/876e9deb18afe91f1145408eea8a6ad3dacf26d3
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In Statistics and Probability
- Martin Huber
- Markus Frölich
- James Fenske
- Achyuta R. Adhvaryu
- Anant Nyshadham
- M. Lechner
- M. D. Cattaneo
- Viviana Celli
Citations in the corpus
- Early Life Circumstance and Adult Mental Health (2019, methodology): “To address this concern, we follow Huber (2014) in constructing inverse probability weights from the probability of treatment as a function of the full set of candidate mediators and any covariates.”
- When the money runs out: Do cash transfers have sustained effects on human capital accumulation? (2016, unknown): “…does not open a ‘backdoor path’ between the mediator and some other, unobserved determinant of outcomes (for more discussion of these assumptions, see Sobel 2008; Flores and Flores-Lagunes 2009; Bullock, Green and Ha 2010; Imai, Tingley and Yamamoto 2013; Huber 2014; and Heckman and Pinto 2015).”
- Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables (2014, methodology): “Furthermore, we apply the Kitagawa (2008) and Huber and Mellace (2014) methods to Z2.”