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This paper presents a parametric counter-factual model identifying average treatment effects (ATEs) by conditional mean independence when externality (or neighborhood) effects are incorporated within the traditional Rubin-potential outcome model. As such, it tries to generalize the usual...
Persistent link: https://www.econbiz.de/10010933764
The time-stratified case-crossover design is widely used in environmental epidemiology to analyze the short-term effects of environmental risk factors, such as air pollution or temperature, on human health. It compares the exposure level in the day when the health event occurs (case day) with...
Persistent link: https://www.econbiz.de/10010933765
Abstract not available.
Persistent link: https://www.econbiz.de/10011019777
Abstract not available.
Persistent link: https://www.econbiz.de/10011019778
Persistent link: https://www.econbiz.de/10011019779
Abstract not available.
Persistent link: https://www.econbiz.de/10011019780
The minimum density power divergence (MDPD) framework (Basu et al., 1998) provides a family of estimators indexed by a parameter (α), which controls the tradeoff between efficiency and robustness. In this paper, we extend this estimation framework to finite mixtures of regression models. In...
Persistent link: https://www.econbiz.de/10011019781
Cancer registries are often interested in estimating net survival, the probability of survival if the cancer under study is the only possible cause of death. In 2011, Pohar Perme et al. proposed a new estimator of net survival based on inverse-probability weighting. They demonstrated that...
Persistent link: https://www.econbiz.de/10011019782
This paper presents xsmle, a new Stata command for the estimation of spatial panel-data models. xsmle fits a spatial autoregressive model, a spatial error model, and a spatial Durbin model with fixed or random effects and with or without a dynamic component. Moreover, xsmle estimates the...
Persistent link: https://www.econbiz.de/10011019783
Abstract not available.
Persistent link: https://www.econbiz.de/10011019784