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We investigate the behaviour of the Lasso for selecting invalid instruments in linear instrumental variables models for estimating causal effects of exposures on outcomes, as proposed recently by Kang, Zhang, Cai and Small (2016, Journal of the American Statistical Association). Invalid...
Persistent link: https://www.econbiz.de/10011712709
This paper demonstrates that popular linear fixed-effects panel-data estimators are biased and inconsistent when applied in a discrete-time hazard setting - that is, one in which the outcome variable is a binary dummy indicating an absorbing state, even if the data-generating process is fully...
Persistent link: https://www.econbiz.de/10012606482
Persistent link: https://www.econbiz.de/10011488328
This paper demonstrates that popular linear fixed-effects panel-data estimators are biased andinconsistent when applied in a discrete-time hazard setting - that is, one in which the outcomevariable is a binary dummy indicating an absorbing state, even if the data-generating process isfully...
Persistent link: https://www.econbiz.de/10012514912
Persistent link: https://www.econbiz.de/10014321658