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Identifiability and Estimation of Causal Effects by Principal Stratification with Outcomes Truncated by Death
Causal inference Identifiability Principal Stratification Truncated by Death
2016/1/19
In medical studies, there are many situations where the final outcomes are truncated by death, in which patients die before outcomes of interest are measured. In this paper we consider identifiability...
Identifiability of causal effects for binary variables with data missing due to death
Causal inference Missing due to death Identifiability EM algorithm Bounds
2016/1/19
Summary: We discuss evaluation of causal effects with missing data due to death. Frangakis et al. (2007)proposed an approach for estimating the causal effects of interest under some assumptions. In th...
The Causal Effects of Rural-to-Urban Migration on Children’s Wellbeing in China
China Children’s Wellbeing Rural-to-Urban Migration
2014/1/9
China’s rural-to-urban migration has affected 12.6 million school-age rural children who havemigrated with their parents and another 22 million who have been left behind by their migrant parents. Not...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...
Causal Effects of Single-Sex Schools on College Entrance Exams and College Attendance: Random Assignment in Seoul High Schools
Regression analysis Same-gender teachers Single-sex public education Single-sex schools Teachers Two-year colleges United States
2014/3/31
Despite the voluminous literature on the potentials of single-sex schools, there is no consensus on the effects of single-sex schools because of student selection of school types. We exploit a unique ...
Testing for Nonparametric Identification of Causal Effects in the Presence of a Quasi-Instrument
testing endogeneity monotonicity potential outcomes
2012/10/23
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When availabl...
On the Role of Counterfactuals in Inferring Causal Effects of Treatments
Causation counterfactuals possible worlds treatment effect
2013/10/18
Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis’s possible-world semantics, and reformulates the s...
Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption
Treatment effects balancing score propensity score causal model
2013/10/17
The assumption that the assignment to treatments is ignorable conditional on attributes plays an important role in the applied statistic and econometric evaluation literature. Another term for it is c...