作者：Athey, Susan; Bayati, Mohsen; Doudchenko, Nikolay; Imbens, Guido; Khosravi, Khashayar
作者单位：Stanford University; National Bureau of Economic Research; Stanford University; Stanford University; Stanford University
摘要：In this article, we study methods for estimating causal effects in settings with panel data, where some units are exposed to a treatment during some periods and the goal is estimating counterfactual (untreated) outcomes for the treated unit/period combinations. We propose a class of matrix completion estimators that uses the observed elements of the matrix of control outcomes corresponding to untreated unit/periods to impute the missing elements of the control outcome matrix, corresponding to ...
作者：Dean, Natalie; Yang, Yang
作者单位：Emory University; State University System of Florida; University of Florida
作者：Hiabu, Munir; Mammen, Enno; Dolores Martinez-Miranda, M.; Nielsen, Jens P.
作者单位：University of Sydney; Ruprecht Karls University Heidelberg; University of Granada; City St Georges, University of London
摘要：Smooth backfitting has proven to have a number of theoretical and practical advantages in structured regression. By projecting the data down onto the structured space of interest smooth backfitting provides a direct link between data and estimator. This article introduces the ideas of smooth backfitting to survival analysis in a proportional hazard model, where we assume an underlying conditional hazard with multiplicative components. We develop asymptotic theory for the estimator. In a compre...
